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Roles
Type
Location
Remote/Hybrid
Bengaluru, IND
We are looking for an experienced Backend Engineer with expertise in Java, Spring Boot, and Node.js to join our engineering team. The ideal candidate will be skilled in designing, developing, and maintaining scalable microservices architectures. You will be responsible for building robust backend systems, integrating with front-end components, and ensuring the overall performance and reliability of our applications.
Microservices Development: Design, develop, and maintain scalable and efficient microservices using Java with Spring Boot and Node.js.
API Design: Create and implement RESTful APIs to facilitate smooth communication between microservices and with external systems.
Architecture: Contribute to the design and evolution of the microservices architecture, ensuring best practices in modularity, scalability, and maintainability.
Integration: Work with front-end developers and other stakeholders to integrate backend services with user-facing components and other systems.
Database Management: Develop and manage databases, including schema design and optimization for performance and reliability.
Testing: Write unit tests, integration tests, and perform code reviews to ensure high-quality code and robustness of applications.
Deployment: Implement and manage CI/CD pipelines for automated deployment and monitoring of services in production environments.
Troubleshooting: Identify and resolve performance bottlenecks, bugs, and other issues in the backend systems.
Documentation: Maintain comprehensive documentation for APIs, services, and deployment processes.
Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Experience: Proven experience (4+ years) as a Backend Engineer or similar role, with hands-on expertise in Java, Spring Boot, and Node.js.
Problem-Solving: Strong analytical and problem-solving skills with a focus on performance and scalability.
Communication: Excellent communication skills, with the ability to work effectively with cross- functional teams and stakeholders.
Team Player: Collaborative mindset with the ability to contribute effectively in a team-oriented environment.
Java & Spring Boot: Strong experience in developing microservices using Java and the Spring Boot framework.
Node.js: Proficiency in building and managing services using Node.js.
API Development: Deep understanding of RESTful APIs, API design principles, and integration techniques.
Database Technologies: Experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB).
Microservices Architecture: Familiarity with microservices design patterns, service discovery, and API gateways.
DevOps: Experience with CI/CD tools and practices, containerization (e.g., Docker), and orchestration (e.g., Kubernetes).
Version Control: Proficiency with Git or other version control systems.
Experience with other programming languages or frameworks (e.g., Python, Ruby).
Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and their services.
Familiarity with message brokers (e.g., Kafka, RabbitMQ) and asynchronous processing.
Remote/Hybrid
Bengaluru, IND
We are looking for a passionate and skilled Frontend Engineer to join our team. The ideal candidate will have extensive experience with React, Redux, and GraphQL, and will be adept at building high- performance, scalable web applications. You will be instrumental in creating intuitive and engaging user interfaces that drive our product's success.
UI Development: Build and maintain interactive and responsive user interfaces using React and Redux, ensuring a seamless and dynamic user experience.
GraphQL Integration: Develop and integrate GraphQL queries and mutations to connect frontend components with backend data sources.
Component Design: Create reusable, modular components and maintain consistency in design and functionality across the application.
State Management: Utilize Redux or similar state management libraries to manage application state effectively and optimize performance.
Collaboration: Work closely with backend engineers to integrate APIs and ensure efficient data flow between frontend and backend systems.
Performance Optimization: Identify and address performance issues, implementing best practices to ensure fast load times and a smooth user experience.
Code Quality: Write clean, maintainable, and well-documented code. Conduct code reviews to uphold code quality standards and best practices.
Testing: Develop and maintain unit tests, integration tests, and end-to-end tests to ensure application reliability and robustness.
Design Collaboration: Collaborate with UX/UI designers to translate wireframes and mockups into functional, high-quality user interfaces.
Continuous Improvement: Stay current with emerging frontend technologies and trends. Propose and implement improvements to enhance the development process.
Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
Experience: Proven experience (4+ years) as a Frontend Engineer or similar role, with a strong portfolio demonstrating expertise in React, Redux, and GraphQL.
Design Principles: Experience with responsive design and ensuring cross-browser compatibility.
Problem-Solving: Strong analytical and problem-solving skills, with a focus on creating efficient and scalable solutions.
Communication: Excellent verbal and written communication skills, with the ability to articulate technical concepts clearly to both technical and non-technical stakeholders.
Team Player: Ability to work effectively both independently and within a collaborative team environment.
React: Advanced experience in building complex applications using React, including hooks, context, and component lifecycle.
Redux: Expertise in state management using Redux, including action creators, reducers, and middleware.
GraphQL: Proficiency in using GraphQL for querying and mutating data, with experience in integrating GraphQL clients (e.g., Apollo Client).
HTML/CSS: Strong understanding of HTML5, CSS3, and responsive design principles.
JavaScript: Deep knowledge of JavaScript (ES6+), including modern features, asynchronous programming, and event handling.
Build Tools: Familiarity with build tools and task runners (e.g., Webpack, Babel, npm/yarn).
Version Control: Proficiency with Git or other version control systems.
Experience with TypeScript for type safety.
Knowledge of server-side rendering and static site generation with React.
Familiarity with UI/UX design principles and tools (e.g., Figma, Sketch).
Experience with testing frameworks (e.g., Jest, React Testing Library)
Remote/Hybrid
Bengaluru, IND
We are looking for a skilled and experienced Snowflake Data Engineer to join our team. The ideal candidate will have 4-10 years of experience in data engineering, with at least 3 years of hands-on expertise with Snowflake. You will be responsible for designing, building, and optimizing data pipelines and workflows, ensuring data integrity and performance within our Snowflake environment. Strong proficiency in SQL, advanced knowledge of Snowflake’s features, and experience with SQL Server to Snowflake migrations are crucial for this role. Familiarity with Microsoft technologies such as SSIS, SSAS, and SSMS, as well as a proactive problem-solving approach, are also essential.
Data Pipeline Design: Design, build, and optimize data pipelines and workflows using Snowflake, Azure, and DBT to support data ingestion, transformation, and analytics.
Performance Optimization: Optimize query performance and data storage within the Snowflake environment to ensure efficient data processing and retrieval.
ETL/ELT Processes: Design and implement ETL/ELT processes for effective data ingestion and transformation, leveraging Snowflake’s capabilities.
Cross-Functional Collaboration: Work with cross-functional teams to understand data requirements and deliver high-quality, scalable data solutions.
Data Governance: Ensure adherence to data security, compliance, and governance standards, including data privacy and regulatory requirements.
Education: Bachelor’s degree in Computer Science, Information Systems, or a related field.
Experience: 4-10 years of experience in data engineering or related roles, with a minimum of 3 years of hands-on experience with Snowflake.
SQL Proficiency: Expert-level proficiency in SQL, including advanced data querying, performance tuning, and data modeling techniques.
Snowflake Expertise: In-depth understanding of Snowflake architecture, features, and best practices for optimizing performance and managing data.
Data Warehousing: Strong knowledge of data warehousing concepts and dimensional modeling.
Microsoft Technologies: Familiarity with Microsoft suite of technologies including SSIS, SSAS, and SSMS.
Infrastructure as Code: Knowledge of Infrastructure as Code (IaC) tools like Terraform for automating infrastructure management.
CI/CD: Experience with GitHub actions and an understanding of Continuous Integration/Continuous Deployment (CI/CD) practices.
Workflow Orchestration: Experience with workflow orchestration tools such as Airflow for managing and automating data workflows.
Communication: Excellent problem-solving abilities with a proactive and positive attitude. Strong written and verbal communication skills are essential.
Migration Experience: Experience with SQL Server to Snowflake migration using Fivetran, including data integration and transformation.
DBT Proficiency: Proficiency in using the data build tool (dbt) for data transformation and modeling.
Fivetran Experience: Experience with Fivetran for data integration and ELT processes.
Cloud Platforms: Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
Certifications: Relevant certifications, such as Snowflake SnowPro, AWS Certified Data Analytics, or Azure Data Engineer
Remote/Hybrid
Bengaluru, IND
We are looking for a highly skilled and experienced Data Architect to join our team. The ideal candidate will have a deep understanding of big data technologies and experience working with Hadoop, Python, Snowflake, and Databricks. As a Data Architect, you will be responsible for designing, implementing, and managing complex data architectures that support our business needs and objectives.
Design and Architecture:
Design scalable and efficient data architecture solutions to meet the business's current and future data needs.
Lead the development of data models, schemas, and databases that align with business requirements.
Architect and implement solutions on cloud platforms such as AWS, Azure, or GCP.
Data Management:
Develop and maintain data pipelines and ETL processes using Hadoop, Databricks, and other tools.
Oversee data integration and data quality efforts to ensure data consistency and reliability across the organization.
Implement data governance and best practices for data security, privacy, and compliance.
Collaboration and Leadership:
Work closely with data engineers, data scientists, and business stakeholders to understand data requirements and translate them into technical solutions.
Provide technical leadership and mentorship to junior data engineers and architects.
Collaborate with cross-functional teams to ensure data solutions align with business goals.
Optimization and Performance:
Optimize existing data architectures for performance, scalability, and cost-efficiency.
Monitor and troubleshoot data systems to ensure high availability and reliability.
Continuously evaluate and recommend new tools and technologies to improve data architecture.
Bachelor's degree in Computer Science, Information Technology, or a related field. A Master's degree is preferred.
10+ years of experience in data architecture, data engineering, or a related field.
Proven experience with Hadoop ecosystems (HDFS, MapReduce, Hive, HBase).
Strong programming skills in Python for data processing and automation.
Hands-on experience with Snowflake and Databricks for data warehousing and analytics.
Experience with cloud platforms (AWS, Azure, GCP) and their data services.
Familiarity with data modeling tools and methodologies.
Deep understanding of big data technologies and distributed computing.
Strong problem-solving skills and the ability to design solutions to complex data challenges.
Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Knowledge of SQL and database performance tuning.
Experience with CI/CD pipelines and automation in data environments.
Certification in cloud platforms such as AWS Certified Data Analytics, Google Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate.
Experience with additional programming languages like Java or Scala.
Knowledge of machine learning frameworks and their integration with data pipelines
Remote/Hybrid
Bengaluru, IND
We are seeking a highly skilled Salesforce Developer with specialized experience in Salesforce CPQ, Service Cloud, and Billing to join our dynamic team. The ideal candidate will have a strong background in developing and customizing Salesforce solutions that enhance our sales, service, and billing processes. You will be responsible for designing, developing, and implementing complex Salesforce solutions tailored to meet business needs.
CPQ Development: Customize and enhance Salesforce CPQ (Configure, Price, Quote) applications, including product configuration, pricing rules, quote templates, and approval processes.
Service Cloud Development: Implement and customize Salesforce Service Cloud to optimize customer service operations, including case management, service processes, and service level agreements (SLAs).
Billing Implementation: Develop and integrate Salesforce Billing solutions, ensuring seamless end-to-end billing processes, including invoicing, payment processing, and revenue recognition.
System Integration: Integrate Salesforce CPQ, Service Cloud, and Billing with other internal and third-party systems using REST/SOAP APIs, middleware, and custom integrations.
Customization: Design and implement custom objects, workflows, validation rules, and other Salesforce platform features to meet specific business requirements.
Data Management: Ensure data integrity across Salesforce CPQ, Service Cloud, Billing, and connected systems. Handle data migrations and implement data quality controls.
Testing & Quality Assurance: Conduct unit testing, integration testing, and debugging to ensure the stability and performance of Salesforce customizations and integrations.
Documentation: Create and maintain comprehensive technical documentation, including system architecture, design specifications, and user guides.
Collaboration: Work closely with business analysts, project managers, and stakeholders to understand business requirements and translate them into technical solutions.
Continuous Improvement: Stay informed on Salesforce platform updates, CPQ, Service Cloud, and Billing best practices. Recommend enhancements to existing systems and processes.
Education: Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent experience.
5+ years of experience as a Salesforce Developer, with specific experience in CPQ, Service Cloud, and Billing.
Proficiency in Apex, Visualforce, Lightning Components, and Salesforce development tools.
Extensive experience with Salesforce CPQ configuration, Service Cloud customization, and Billing implementation.
Experience integrating Salesforce with external systems using REST/SOAP APIs.
Familiarity with Salesforce data models and architecture, particularly in CPQ, Service Cloaud, and Billing.
Certifications: Salesforce Certified CPQ Specialist, Salesforce Service Cloud Consultant, or equivalent certifications are highly preferred.
Deep understanding of Salesforce CPQ, Service Cloud, and Billing functionalities.
Strong problem-solving skills with a focus on customer-centric solutions.
Excellent knowledge of the Salesforce platform and its capabilities, particularly in relation to sales, service, and billing operations.
Strong communication skills, with the ability to work effectively with both technical and non- technical stakeholders.
Ability to manage multiple tasks and projects simultaneously in a fast-paced environment.
Experience with Agile development methodologies.
Familiarity with Salesforce Communities, Marketing Cloud, or other Salesforce products.
Knowledge of JavaScript, HTML, CSS, and other web development technologies is a plus.
Experience with CI/CD tools and version control systems like Git.
Remote/Hybrid
Bengaluru, IND
We are looking for a highly skilled Workato Developer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining integrations and automation solutions using the Workato platform. This role requires deep expertise in automation, APIs, and data integration to streamline business processes and enhance system interoperability.
Integration Development: Design, develop, and implement integrations between various systems using the Workato platform, ensuring data consistency and accuracy across platforms.
Automation: Create and manage automation workflows to optimize business processes, reduce manual tasks, and improve operational efficiency.
API Management: Work with RESTful and SOAP APIs to build integrations that connect cloud and on-premises applications, enabling seamless data exchange.
Workflow Orchestration: Design and implement end-to-end workflows that span multiple systems, ensuring smooth data flow and process automation.
Data Transformation: Develop and manage data transformations, mappings, and logic to ensure accurate data migration and synchronization across systems.
Monitoring & Troubleshooting: Monitor the performance of integrations and automations, proactively identifying and resolving issues to ensure reliability and performance.
Collaboration: Work closely with business analysts, IT teams, and other stakeholders to understand integration requirements and translate them into technical solutions.
Documentation: Create and maintain comprehensive documentation for integration designs, workflows, data mappings, and any custom scripts or configurations.
Continuous Improvement: Stay updated with the latest Workato features, integration patterns, and best practices. Provide recommendations to enhance existing integrations and workflows.
Education: Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent experience.
3+ years of experience in integration development, with at least 1-2 years of hands-on experience with Workato.
Strong understanding of Workato platform capabilities, including connectors, recipes, triggers, and actions.
Experience with RESTful and SOAP APIs, including API design, development, and management.
Knowledge of data integration best practices, ETL processes, and data synchronization techniques.
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and SaaS applications (e.g., Salesforce, NetSuite, ServiceNow).
Certifications: Workato Automation Pro or equivalent certification is preferred.
Strong problem-solving skills with the ability to troubleshoot complex integration issues.
Proficiency in scripting languages (e.g., JavaScript, Python) used in automation and integration contexts.
Excellent understanding of system integration concepts, including data formats (JSON, XML), messaging patterns, and error handling.
Ability to work independently as well as in a collaborative team environment.
Strong communication skills, with the ability to translate business requirements into technical solutions.
Attention to detail and commitment to delivering high-quality, reliable integrations.
Experience with other integration platforms like MuleSoft, Zapier, or Dell Boomi.
Knowledge of database systems (e.g., SQL, NoSQL) and data modeling concepts.
Familiarity with Agile development practices and tools like Jira or Confluence.
Experience in developing integrations for ERP, CRM, and other enterprise systems.
Remote/Hybrid
Bengaluru, IND
We are seeking a skilled and motivated AI Engineer to join our dynamic team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and data science, with a passion for developing innovative AI solutions. You will work on designing, building, and implementing machine learning models and AI systems to solve complex problems and enhance our products.
Model Development: Design, develop, and deploy machine learning models and AI algorithms to meet specific business needs.
Data Processing: Collect, preprocess, and analyze large datasets to extract valuable insights and improve model performance.
Collaboration: Work closely with cross-functional teams including data scientists, software engineers, and product managers to integrate AI solutions into our products.
Research: Stay updated with the latest AI research and advancements to continuously improve our technology stack.
Testing & Optimization: Conduct rigorous testing and optimization of AI models to ensure accuracy, scalability, and reliability.
Documentation: Create detailed documentation for AI models, including methodologies, performance metrics, and usage guidelines.
Problem-Solving: Troubleshoot and resolve technical issues related to AI and machine learning applications.
Experience: Proven experience (5+ years) as an AI Engineer or similar role, with a strong portfolio of machine learning projects.
Analytical Skills: Excellent problem-solving skills with the ability to analyze complex data and provide actionable insights.
Communication: Strong verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.
Team Player: Ability to work effectively both independently and as part of a collaborative team.
Proficiency in programming languages such as Python, R, or Java.
Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
Strong understanding of data structures, algorithms, and statistical methods.
Familiarity with cloud platforms and services (e.g., AWS, Google Cloud, Azure) for deploying AI solutions.
Knowledge of software development practices, version control, and CI/CD pipelines.
Experience with natural language processing (NLP) or computer vision.
Knowledge of AI ethics and responsible AI practices.
Contributions to open-source AI projects or publications in relevant conferences/journals.
Remote/Hybrid
Bengaluru, IND
We are looking for an experienced Backend Engineer with expertise in Java, Spring Boot, and Node.js to join our engineering team. The ideal candidate will be skilled in designing, developing, and maintaining scalable microservices architectures. You will be responsible for building robust backend systems, integrating with front-end components, and ensuring the overall performance and reliability of our applications.
Microservices Development: Design, develop, and maintain scalable and efficient microservices using Java with Spring Boot and Node.js.
API Design: Create and implement RESTful APIs to facilitate smooth communication between microservices and with external systems.
Architecture: Contribute to the design and evolution of the microservices architecture, ensuring best practices in modularity, scalability, and maintainability.
Integration: Work with front-end developers and other stakeholders to integrate backend services with user-facing components and other systems.
Database Management: Develop and manage databases, including schema design and optimization for performance and reliability.
Testing: Write unit tests, integration tests, and perform code reviews to ensure high-quality code and robustness of applications.
Deployment: Implement and manage CI/CD pipelines for automated deployment and monitoring of services in production environments.
Troubleshooting: Identify and resolve performance bottlenecks, bugs, and other issues in the backend systems.
Documentation: Maintain comprehensive documentation for APIs, services, and deployment processes.
Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Experience: Proven experience (4+ years) as a Backend Engineer or similar role, with hands-on expertise in Java, Spring Boot, and Node.js.
Problem-Solving: Strong analytical and problem-solving skills with a focus on performance and scalability.
Communication: Excellent communication skills, with the ability to work effectively with cross- functional teams and stakeholders.
Team Player: Collaborative mindset with the ability to contribute effectively in a team-oriented environment.
Java & Spring Boot: Strong experience in developing microservices using Java and the Spring Boot framework.
Node.js: Proficiency in building and managing services using Node.js.
API Development: Deep understanding of RESTful APIs, API design principles, and integration techniques.
Database Technologies: Experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB).
Microservices Architecture: Familiarity with microservices design patterns, service discovery, and API gateways.
DevOps: Experience with CI/CD tools and practices, containerization (e.g., Docker), and orchestration (e.g., Kubernetes).
Version Control: Proficiency with Git or other version control systems.
Experience with other programming languages or frameworks (e.g., Python, Ruby).
Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and their services.
Familiarity with message brokers (e.g., Kafka, RabbitMQ) and asynchronous processing.
Remote/Hybrid
Bengaluru, IND
We are looking for a passionate and skilled Frontend Engineer to join our team. The ideal candidate will have extensive experience with React, Redux, and GraphQL, and will be adept at building high- performance, scalable web applications. You will be instrumental in creating intuitive and engaging user interfaces that drive our product's success.
UI Development: Build and maintain interactive and responsive user interfaces using React and Redux, ensuring a seamless and dynamic user experience.
GraphQL Integration: Develop and integrate GraphQL queries and mutations to connect frontend components with backend data sources.
Component Design: Create reusable, modular components and maintain consistency in design and functionality across the application.
State Management: Utilize Redux or similar state management libraries to manage application state effectively and optimize performance.
Collaboration: Work closely with backend engineers to integrate APIs and ensure efficient data flow between frontend and backend systems.
Performance Optimization: Identify and address performance issues, implementing best practices to ensure fast load times and a smooth user experience.
Code Quality: Write clean, maintainable, and well-documented code. Conduct code reviews to uphold code quality standards and best practices.
Testing: Develop and maintain unit tests, integration tests, and end-to-end tests to ensure application reliability and robustness.
Design Collaboration: Collaborate with UX/UI designers to translate wireframes and mockups into functional, high-quality user interfaces.
Continuous Improvement: Stay current with emerging frontend technologies and trends. Propose and implement improvements to enhance the development process.
Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
Experience: Proven experience (4+ years) as a Frontend Engineer or similar role, with a strong portfolio demonstrating expertise in React, Redux, and GraphQL.
Design Principles: Experience with responsive design and ensuring cross-browser compatibility.
Problem-Solving: Strong analytical and problem-solving skills, with a focus on creating efficient and scalable solutions.
Communication: Excellent verbal and written communication skills, with the ability to articulate technical concepts clearly to both technical and non-technical stakeholders.
Team Player: Ability to work effectively both independently and within a collaborative team environment.
React: Advanced experience in building complex applications using React, including hooks, context, and component lifecycle.
Redux: Expertise in state management using Redux, including action creators, reducers, and middleware.
GraphQL: Proficiency in using GraphQL for querying and mutating data, with experience in integrating GraphQL clients (e.g., Apollo Client).
HTML/CSS: Strong understanding of HTML5, CSS3, and responsive design principles.
JavaScript: Deep knowledge of JavaScript (ES6+), including modern features, asynchronous programming, and event handling.
Build Tools: Familiarity with build tools and task runners (e.g., Webpack, Babel, npm/yarn).
Version Control: Proficiency with Git or other version control systems.
Experience with TypeScript for type safety.
Knowledge of server-side rendering and static site generation with React.
Familiarity with UI/UX design principles and tools (e.g., Figma, Sketch).
Experience with testing frameworks (e.g., Jest, React Testing Library)
Remote/Hybrid
Bengaluru, IND
We are looking for a skilled and experienced Snowflake Data Engineer to join our team. The ideal candidate will have 4-10 years of experience in data engineering, with at least 3 years of hands-on expertise with Snowflake. You will be responsible for designing, building, and optimizing data pipelines and workflows, ensuring data integrity and performance within our Snowflake environment. Strong proficiency in SQL, advanced knowledge of Snowflake’s features, and experience with SQL Server to Snowflake migrations are crucial for this role. Familiarity with Microsoft technologies such as SSIS, SSAS, and SSMS, as well as a proactive problem-solving approach, are also essential.
Data Pipeline Design: Design, build, and optimize data pipelines and workflows using Snowflake, Azure, and DBT to support data ingestion, transformation, and analytics.
Performance Optimization: Optimize query performance and data storage within the Snowflake environment to ensure efficient data processing and retrieval.
ETL/ELT Processes: Design and implement ETL/ELT processes for effective data ingestion and transformation, leveraging Snowflake’s capabilities.
Cross-Functional Collaboration: Work with cross-functional teams to understand data requirements and deliver high-quality, scalable data solutions.
Data Governance: Ensure adherence to data security, compliance, and governance standards, including data privacy and regulatory requirements.
Education: Bachelor’s degree in Computer Science, Information Systems, or a related field.
Experience: 4-10 years of experience in data engineering or related roles, with a minimum of 3 years of hands-on experience with Snowflake.
SQL Proficiency: Expert-level proficiency in SQL, including advanced data querying, performance tuning, and data modeling techniques.
Snowflake Expertise: In-depth understanding of Snowflake architecture, features, and best practices for optimizing performance and managing data.
Data Warehousing: Strong knowledge of data warehousing concepts and dimensional modeling.
Microsoft Technologies: Familiarity with Microsoft suite of technologies including SSIS, SSAS, and SSMS.
Infrastructure as Code: Knowledge of Infrastructure as Code (IaC) tools like Terraform for automating infrastructure management.
CI/CD: Experience with GitHub actions and an understanding of Continuous Integration/Continuous Deployment (CI/CD) practices.
Workflow Orchestration: Experience with workflow orchestration tools such as Airflow for managing and automating data workflows.
Communication: Excellent problem-solving abilities with a proactive and positive attitude. Strong written and verbal communication skills are essential.
Migration Experience: Experience with SQL Server to Snowflake migration using Fivetran, including data integration and transformation.
DBT Proficiency: Proficiency in using the data build tool (dbt) for data transformation and modeling.
Fivetran Experience: Experience with Fivetran for data integration and ELT processes.
Cloud Platforms: Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
Certifications: Relevant certifications, such as Snowflake SnowPro, AWS Certified Data Analytics, or Azure Data Engineer
Remote/Hybrid
Bengaluru, IND
We are looking for a highly skilled and experienced Data Architect to join our team. The ideal candidate will have a deep understanding of big data technologies and experience working with Hadoop, Python, Snowflake, and Databricks. As a Data Architect, you will be responsible for designing, implementing, and managing complex data architectures that support our business needs and objectives.
Design and Architecture:
Design scalable and efficient data architecture solutions to meet the business's current and future data needs.
Lead the development of data models, schemas, and databases that align with business requirements.
Architect and implement solutions on cloud platforms such as AWS, Azure, or GCP.
Data Management:
Develop and maintain data pipelines and ETL processes using Hadoop, Databricks, and other tools.
Oversee data integration and data quality efforts to ensure data consistency and reliability across the organization.
Implement data governance and best practices for data security, privacy, and compliance.
Collaboration and Leadership:
Work closely with data engineers, data scientists, and business stakeholders to understand data requirements and translate them into technical solutions.
Provide technical leadership and mentorship to junior data engineers and architects.
Collaborate with cross-functional teams to ensure data solutions align with business goals.
Optimization and Performance:
Optimize existing data architectures for performance, scalability, and cost-efficiency.
Monitor and troubleshoot data systems to ensure high availability and reliability.
Continuously evaluate and recommend new tools and technologies to improve data architecture.
Bachelor's degree in Computer Science, Information Technology, or a related field. A Master's degree is preferred.
10+ years of experience in data architecture, data engineering, or a related field.
Proven experience with Hadoop ecosystems (HDFS, MapReduce, Hive, HBase).
Strong programming skills in Python for data processing and automation.
Hands-on experience with Snowflake and Databricks for data warehousing and analytics.
Experience with cloud platforms (AWS, Azure, GCP) and their data services.
Familiarity with data modeling tools and methodologies.
Deep understanding of big data technologies and distributed computing.
Strong problem-solving skills and the ability to design solutions to complex data challenges.
Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Knowledge of SQL and database performance tuning.
Experience with CI/CD pipelines and automation in data environments.
Certification in cloud platforms such as AWS Certified Data Analytics, Google Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate.
Experience with additional programming languages like Java or Scala.
Knowledge of machine learning frameworks and their integration with data pipelines
Remote/Hybrid
Bengaluru, IND
We are seeking a highly skilled Salesforce Developer with specialized experience in Salesforce CPQ, Service Cloud, and Billing to join our dynamic team. The ideal candidate will have a strong background in developing and customizing Salesforce solutions that enhance our sales, service, and billing processes. You will be responsible for designing, developing, and implementing complex Salesforce solutions tailored to meet business needs.
CPQ Development: Customize and enhance Salesforce CPQ (Configure, Price, Quote) applications, including product configuration, pricing rules, quote templates, and approval processes.
Service Cloud Development: Implement and customize Salesforce Service Cloud to optimize customer service operations, including case management, service processes, and service level agreements (SLAs).
Billing Implementation: Develop and integrate Salesforce Billing solutions, ensuring seamless end-to-end billing processes, including invoicing, payment processing, and revenue recognition.
System Integration: Integrate Salesforce CPQ, Service Cloud, and Billing with other internal and third-party systems using REST/SOAP APIs, middleware, and custom integrations.
Customization: Design and implement custom objects, workflows, validation rules, and other Salesforce platform features to meet specific business requirements.
Data Management: Ensure data integrity across Salesforce CPQ, Service Cloud, Billing, and connected systems. Handle data migrations and implement data quality controls.
Testing & Quality Assurance: Conduct unit testing, integration testing, and debugging to ensure the stability and performance of Salesforce customizations and integrations.
Documentation: Create and maintain comprehensive technical documentation, including system architecture, design specifications, and user guides.
Collaboration: Work closely with business analysts, project managers, and stakeholders to understand business requirements and translate them into technical solutions.
Continuous Improvement: Stay informed on Salesforce platform updates, CPQ, Service Cloud, and Billing best practices. Recommend enhancements to existing systems and processes.
Education: Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent experience.
5+ years of experience as a Salesforce Developer, with specific experience in CPQ, Service Cloud, and Billing.
Proficiency in Apex, Visualforce, Lightning Components, and Salesforce development tools.
Extensive experience with Salesforce CPQ configuration, Service Cloud customization, and Billing implementation.
Experience integrating Salesforce with external systems using REST/SOAP APIs.
Familiarity with Salesforce data models and architecture, particularly in CPQ, Service Cloaud, and Billing.
Certifications: Salesforce Certified CPQ Specialist, Salesforce Service Cloud Consultant, or equivalent certifications are highly preferred.
Deep understanding of Salesforce CPQ, Service Cloud, and Billing functionalities.
Strong problem-solving skills with a focus on customer-centric solutions.
Excellent knowledge of the Salesforce platform and its capabilities, particularly in relation to sales, service, and billing operations.
Strong communication skills, with the ability to work effectively with both technical and non- technical stakeholders.
Ability to manage multiple tasks and projects simultaneously in a fast-paced environment.
Experience with Agile development methodologies.
Familiarity with Salesforce Communities, Marketing Cloud, or other Salesforce products.
Knowledge of JavaScript, HTML, CSS, and other web development technologies is a plus.
Experience with CI/CD tools and version control systems like Git.
Remote/Hybrid
Bengaluru, IND
We are looking for a highly skilled Workato Developer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining integrations and automation solutions using the Workato platform. This role requires deep expertise in automation, APIs, and data integration to streamline business processes and enhance system interoperability.
Integration Development: Design, develop, and implement integrations between various systems using the Workato platform, ensuring data consistency and accuracy across platforms.
Automation: Create and manage automation workflows to optimize business processes, reduce manual tasks, and improve operational efficiency.
API Management: Work with RESTful and SOAP APIs to build integrations that connect cloud and on-premises applications, enabling seamless data exchange.
Workflow Orchestration: Design and implement end-to-end workflows that span multiple systems, ensuring smooth data flow and process automation.
Data Transformation: Develop and manage data transformations, mappings, and logic to ensure accurate data migration and synchronization across systems.
Monitoring & Troubleshooting: Monitor the performance of integrations and automations, proactively identifying and resolving issues to ensure reliability and performance.
Collaboration: Work closely with business analysts, IT teams, and other stakeholders to understand integration requirements and translate them into technical solutions.
Documentation: Create and maintain comprehensive documentation for integration designs, workflows, data mappings, and any custom scripts or configurations.
Continuous Improvement: Stay updated with the latest Workato features, integration patterns, and best practices. Provide recommendations to enhance existing integrations and workflows.
Education: Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent experience.
3+ years of experience in integration development, with at least 1-2 years of hands-on experience with Workato.
Strong understanding of Workato platform capabilities, including connectors, recipes, triggers, and actions.
Experience with RESTful and SOAP APIs, including API design, development, and management.
Knowledge of data integration best practices, ETL processes, and data synchronization techniques.
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and SaaS applications (e.g., Salesforce, NetSuite, ServiceNow).
Certifications: Workato Automation Pro or equivalent certification is preferred.
Strong problem-solving skills with the ability to troubleshoot complex integration issues.
Proficiency in scripting languages (e.g., JavaScript, Python) used in automation and integration contexts.
Excellent understanding of system integration concepts, including data formats (JSON, XML), messaging patterns, and error handling.
Ability to work independently as well as in a collaborative team environment.
Strong communication skills, with the ability to translate business requirements into technical solutions.
Attention to detail and commitment to delivering high-quality, reliable integrations.
Experience with other integration platforms like MuleSoft, Zapier, or Dell Boomi.
Knowledge of database systems (e.g., SQL, NoSQL) and data modeling concepts.
Familiarity with Agile development practices and tools like Jira or Confluence.
Experience in developing integrations for ERP, CRM, and other enterprise systems.
Remote/Hybrid
Bengaluru, IND
We are seeking a skilled and motivated AI Engineer to join our dynamic team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and data science, with a passion for developing innovative AI solutions. You will work on designing, building, and implementing machine learning models and AI systems to solve complex problems and enhance our products.
Model Development: Design, develop, and deploy machine learning models and AI algorithms to meet specific business needs.
Data Processing: Collect, preprocess, and analyze large datasets to extract valuable insights and improve model performance.
Collaboration: Work closely with cross-functional teams including data scientists, software engineers, and product managers to integrate AI solutions into our products.
Research: Stay updated with the latest AI research and advancements to continuously improve our technology stack.
Testing & Optimization: Conduct rigorous testing and optimization of AI models to ensure accuracy, scalability, and reliability.
Documentation: Create detailed documentation for AI models, including methodologies, performance metrics, and usage guidelines.
Problem-Solving: Troubleshoot and resolve technical issues related to AI and machine learning applications.
Experience: Proven experience (5+ years) as an AI Engineer or similar role, with a strong portfolio of machine learning projects.
Analytical Skills: Excellent problem-solving skills with the ability to analyze complex data and provide actionable insights.
Communication: Strong verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.
Team Player: Ability to work effectively both independently and as part of a collaborative team.
Proficiency in programming languages such as Python, R, or Java.
Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
Strong understanding of data structures, algorithms, and statistical methods.
Familiarity with cloud platforms and services (e.g., AWS, Google Cloud, Azure) for deploying AI solutions.
Knowledge of software development practices, version control, and CI/CD pipelines.
Experience with natural language processing (NLP) or computer vision.
Knowledge of AI ethics and responsible AI practices.
Contributions to open-source AI projects or publications in relevant conferences/journals.
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