Top Data Engineer Jobs in Kolkata

Design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes for data migration.

Design, develop and maintain data solutions including data pipelines and ETL processes, ensuring data quality and efficiency in data management.

The role involves developing and maintaining data pipelines, ensuring data quality, and collaborating on technical documentation and team processes.

Design and build data infrastructure and architecture, optimize data processes, implement ELT applications, and develop high-quality data pipelines for clients.

The GCP Data Engineer designs and builds scalable data pipelines on Google Cloud Platform, optimizing performance and collaborating with stakeholders to support analytics and data processing.

The Data Engineer designs and develops data pipelines for storage and processing, optimizes data integration, and collaborates with analysts on data models and KPIs, while leveraging cloud and AI technologies.

The role involves designing and building data infrastructure, developing ETL/ELT applications, collaborating with teams, and improving engineering processes for analytics and AI capabilities.

As a Data Engineer, you will design and maintain data pipelines, enhance blockchain reporting, and ensure data quality while integrating external data sources and working with various teams.

The Data Engineer will build and maintain ETL/ELT pipelines, implement automated data quality checks, optimize data storage, and create interactive visualizations. They will manage CI/CD pipelines and deliver production-ready data solutions.

Design, implement, and maintain data pipelines using Elasticsearch and data warehousing solutions, integrate data sources, and ensure data accuracy while collaborating with cross-functional teams.

The Looker Data Engineer will develop Looker data models, optimize reporting solutions, use Looker APIs, and work with SQL and cloud platforms.

Design and build ETL pipelines using Apache Spark/PySpark, implement Iceberg table operations, and validate analytical schema. Requires strong data engineering experience and collaboration with stakeholders.

Data Engineer focusing on AI/ML to design data pipelines, integrate ML models, and maintain data infrastructure for analytics and business intelligence, collaborating with cross-functional teams and mentoring junior engineers.

Design and optimize SQL scripts, develop Java applications and APIs, lead collaboration sessions, and ensure solutions adhere to RDBMS principles.

The Business Data Analyst II will design and optimize SQL and PL/SQL scripts, develop Java applications and RESTful APIs, gather requirements, and ensure solutions maintain data integrity and security.

The Data Platform Engineer assists with the design and integration of data platform components, focusing on AI-driven solutions and collaboration with architects.

The Data Platform Engineer designs and delivers AI-driven solutions, oversees development processes, and integrates intelligent insights into workflows. They collaborate across teams and ensure quality in application development.

Design and develop enterprise-grade solutions using Generative and Agentic AI frameworks. Collaborate with teams to meet project requirements and monitor progress, ensuring high standards of quality and functionality.

As a Data Platform Engineer, support the development and refinement of the data platform blueprint, collaborating with Integration and Data Architects for cohesive integration and system reliability.

As a Data Platform Engineer, you support the design and development of a cohesive data platform, collaborating with architects to ensure system integration and performance optimization while guiding junior team members.

The technical lead will design and build AWS data platforms, guiding engineers, ensuring delivery excellence while collaborating with product owners and stakeholders.

The role involves data modeling, troubleshooting complex issues, optimizing storage architectures and mentoring junior engineers while working with GCP and Python.

As a Data Engineer, you will design and implement big data technologies, manage data pipelines, and analyze data to facilitate informed decision-making.

Design and implement critical processes for a subscription billing system while collaborating with cross-functional teams. Requires expert SQL skills and familiarity with various databases and DevOps methodologies.

As a Senior Data Engineer, you will architect system migration to Oracle Cloud, integrate AI/ML solutions, and lead data quality initiatives.