Top Data Engineer Jobs in Kolkata

As a Data Engineer, you will create data pipelines, ensure data quality, develop data governance, and coach junior engineers while collaborating with product managers and business teams.

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.

As a Business Intelligence Data Engineer, you'll develop scalable data architectures and models, manage data pipelines, and enhance analytics using AI tools.

Lead the data engineering team to build scalable data pipelines, design data architecture, and collaborate with cross-functional partners. Ensure data quality and drive architectural vision aligned with business needs.

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.

Design, build, and operationalize large-scale data solutions on Google Cloud Platform, optimizing data pipelines for performance and cost with tools like Python and SQL.

As a Data Platform Engineer, you will design and model the data architecture, ensuring integration and performance alignment with business objectives, while mentoring juniors.

The Data Engineer designs, develops, and maintains data pipelines and infrastructure, ensuring data accuracy and accessibility while collaborating with data teams.

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 Data Engineer is responsible for designing and maintaining data pipelines, ensuring data quality, and integrating data for analysis using advanced technologies such as Snowflake and AWS.

The Snowflake Data Engineer will develop and manage large-scale data pipelines, collaborate with stakeholders, and optimize data engineering solutions using Snowflake.

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

The Data Visualization Engineer is responsible for building data models, dashboards, and insights for B2C products using SQL and BI tools.

As a Senior Data Engineer, you will architect security data ecosystems by designing data lakehouse architectures, implementing real-time streaming pipelines, and enabling AI/ML features. You will manage data ingestion patterns and ensure system integrity through automation and observability.

The Senior Data Engineer will design, build, and maintain scalable data processing systems, optimizing data pipelines, and collaborating on data architecture.

Lead the design and implementation of scalable data engineering solutions on Azure, optimizing performance and mentoring teams. Ensure data quality and security while delivering analytics-ready datasets through collaboration.

Design and maintain SQL-based solutions, optimize ETL workflows using SSIS, and translate business requirements into SQL queries.

Lead the analysis and design of data solutions, manage delivery, mentor a team, and engage stakeholders, utilizing SQL and Power BI.

The role involves designing, developing, and maintaining large scale data engineering solutions while collaborating with stakeholders on data governance and analytics.

As a Data Engineer, you'll build and monitor large-scale data pipelines, develop the DBT setup for data transformation and solve customer problems using your SQL skills.

The Data Solutions Engineer II drives customer data integration implementations, manages database schemas, configures ETL tools, and collaborates with cross-functional teams for project success.

Develop and scale data management systems for AutoML and forecasting platforms, ensuring data reliability and implementing SLAs across pipelines.