Top Data Engineer Jobs in Kolkata

Design, develop, and maintain scalable data pipelines and ETL/ELT processes on Databricks and cloud platforms. Implement batch and real-time ingestion, ensure data quality and governance, optimize Spark jobs, collaborate with architects and data teams, and support data lake and orchestration tooling.

Design, build, and maintain scalable Snowflake data pipelines and ETL/ELT processes. Ensure data quality, performance tuning, and security using Snowpipe, Streams, Tasks, and stored procedures. Collaborate with architects, engineers, and business teams, contribute to CoE guidelines, and support POCs. Mentor delivery teams and stay current on Snowflake and GenAI capabilities.

Design, build, and maintain Snowflake-based data architectures and ETL pipelines. Lead Snowflake solution design, data modeling, performance tuning, security, mentoring, presales, and POCs across projects.

Design, build, and maintain scalable ETL/ELT data pipelines and data lakes using Databricks, Spark/PySpark, cloud platforms, and orchestration tools. Optimize Spark jobs, support real-time streaming (Kafka), ensure data quality, and collaborate with architects, data scientists, and engineers to implement secure, governed data platform solutions.

Design, develop, and maintain Snowflake-based data architectures and ETL pipelines. Lead Snowflake solutions for ingestion, storage, transformation, and access; define data modeling standards; mentor teams; drive POCs, presales, and best practices; ensure performance, security, and integration across systems.

Build and maintain scalable Snowflake data pipelines and ETL/ELT processes, ensure data quality and security, tune performance, write advanced SQL, collaborate with architects and teams, support CoE initiatives, and contribute to POCs/POVs across projects.

Design, build, and maintain scalable ETL/ELT data pipelines and data lakes using Databricks, Spark/PySpark, and cloud platforms. Support real-time streaming (Kafka), data quality, performance tuning, governance, and cross-team integration while enabling data scientists and analysts.

Build, maintain, and optimize scalable ETL/ELT and streaming data pipelines using Databricks, Spark/PySpark and cloud platforms. Design data platform components, ensure data quality, support data lakes, orchestration, CI/CD, and collaborate with data stakeholders to ensure secure, performant data solutions.

Design, implement and maintain Snowflake-based data architectures and ETL pipelines. Lead ingestion, storage, transformation and access best practices, mentor teams, support presales, run POCs, and ensure data quality, security, performance tuning and governance across projects.

Design, build and maintain scalable Snowflake data pipelines and ETL/ELT processes. Ensure data quality, performance tuning, and security. Collaborate with architects and business teams, support CoE initiatives, and contribute to GenAI POVs/POCs using Snowflake and Cortex LLM capabilities.

Design, develop, and maintain data solutions and ETL pipelines using Databricks. Ensure data quality, optimize pipeline performance, collaborate with stakeholders to gather requirements, and support deployment and migration of data across systems. Act as an independent contributor and subject-matter expert.

Design, build, and maintain scalable ETL/ELT data pipelines and data lakes using Databricks, Spark, and cloud platforms. Ensure data quality, support real-time and batch processing, optimize Spark performance, and collaborate with architects, data scientists, and engineers to deploy secure, governed data solutions.

Design, build, and maintain scalable ETL/ELT data pipelines and data lakes using Databricks and Spark. Implement batch and real-time streaming ingestion, ensure data quality and governance, optimize Spark job performance, collaborate with architects and data scientists, and support cloud deployments and CI/CD practices.

Design and lead Snowflake architectures and data solutions, build ETL/data pipelines, ensure data quality and security, mentor teams, drive CoE initiatives, support presales and run POCs/POVs including GenAI integrations leveraging Snowflake Cortex and related tools.

Design, build and maintain scalable Snowflake data pipelines and ETL/ELT processes. Ensure data quality, performance tuning, advanced SQL, and security. Support CoE initiatives, collaborate with architects and teams, and enable delivery through best practices and POCs.

Design, develop, and maintain data solutions and ETL/data pipelines. Ensure data quality and governance, optimize data models and warehouses, troubleshoot pipelines, and lead teams to deliver cross-functional data solutions.

Design, develop, and optimize AWS Glue ETL pipelines integrating data from S3, RDS, Redshift, and other AWS services. Transform data into analytics-ready formats, ensure data quality and security, tune performance, orchestrate workflows (Step Functions/Airflow), monitor jobs, and collaborate with analysts and stakeholders to deliver scalable data lake and warehouse solutions.

The Data Engineer will design, develop, and maintain ETL/ELT data pipelines, leveraging PySpark and Databricks to process large datasets, ensuring data quality, reliability, and performance optimization.

Develop and support Azure-based ETL/ELT data pipelines and analytics solutions. Build and maintain database objects in Azure SQL, Microsoft Fabric, and Snowflake. Monitor and troubleshoot production pipelines, support analytics requests from business users, and maintain technical documentation and version-control standards.

Design, develop, and support Azure-based data pipelines and analytics solutions. Build and maintain database objects in Azure SQL, Fabric, and Snowflake, monitor production pipelines, troubleshoot data issues, support business analytics requests, and maintain technical documentation and version control.

Build, support, and monitor Azure-based data pipelines and analytics solutions. Develop database objects in Azure SQL, Microsoft Fabric, and Snowflake, troubleshoot production data flows, support business analytics requests, maintain technical documentation, and follow development/version-control standards.

The Azure Data Engineer will build data pipelines and dataflows, implement security modules, and work with Azure services while supporting business requirements and data analysis.

We are looking for a Data Engineer with skills in Python, SQL, and Azure technologies to develop Big Data applications. Responsibilities include working with Spark and Docker to handle large scale data processing and analytics.

The Data Engineer role involves analyzing raw data, building data systems, conducting complex analyses, and enhancing data quality by collaborating with data scientists and architects.

This role involves collaborating with users to build data solutions, managing AWS data technologies, and automating workflows for efficiency.