Top Data Engineer Jobs in Kolkata

As a Data Engineer, you will build data pipelines, design data models, and deploy Data Ops, collaborating with multiple teams to enhance product offerings.

As a Snowflake Lead, you will design and implement scalable Snowflake data pipelines, collaborating with teams to ensure data quality and performance.

As a Data Engineer, you will design, develop, and maintain complex data solutions, focusing on Snowflake pipelines and ETL processes to support scalability and data quality.

Design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes using Snowflake.

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

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.

The Data Engineer role involves supporting business logic implementation, assisting with ETL pipelines, and developing data models while collaborating with senior engineers.

Join the Enterprise Data Platform team to design, build, and optimize scalable data pipelines using Python, Airflow, DBT, and Snowflake focused on investment and risk analytics.

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

The Data Engineer / Analytics Engineer will build scalable data models and pipelines using dbt and Snowflake while collaborating with stakeholders and engineers.

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.

Design, develop, and deploy AI-driven solutions while collaborating with architects to ensure cohesive integration of systems and data models.

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

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

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.

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.

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

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.

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.