Top Data Engineer Jobs in Kolkata

The Senior Data Engineer will design and implement data ingestion processes, develop scalable data pipelines, and collaborate with teams to integrate data sources.

As an Azure Data Engineer, you will build and maintain data platforms, develop data pipelines, manage data lakes, and ensure security and compliance.

The role involves designing and developing data solutions using Databricks, focusing on data pipeline architecture, optimization, and reporting.

As a Junior Data Engineer, you'll design and optimize data pipelines, ensure data quality, collaborate with teams, and contribute to innovative data projects.

Build infrastructure tools for trading, optimize data delivery, implement process improvements, ensure data monitoring and reporting, and write efficient code.

As a Data Engineer, you will create and maintain data pipelines, support data scientists, and design data solutions on cloud platforms.

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

The Data Engineer will design and maintain data pipelines and infrastructure, collaborate with teams, and ensure data accuracy for client solutions.

The Senior Data Engineer will architect data models and build ETL pipelines for data infrastructure and analytics, collaborating with stakeholders and leading technical initiatives.

The Sr. Big Data Engineer will design, develop, and maintain scalable data extraction frameworks and ETL/ELT pipelines, optimizing data processing systems while collaborating with cross-functional teams.

Design and maintain scalable data pipelines for complex datasets, enhance data processing systems, and collaborate across teams to ensure data quality and performance optimization.

The role involves developing and maintaining scalable data pipelines, ensuring data quality, collaborating with teams, and optimizing data performance.

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

Lead the design and development of data strategies for HR analytics, driving insights and workforce planning while managing a team of analysts.

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

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 III drives complex customer data integration implementations, providing analytical solutions and leading projects while mentoring junior team members.

The Data Solutions Engineer III drives complex data integration implementations, providing expertise in database systems and ETL solutions, mentoring junior members, and improving workflows.

Design and optimize data infrastructure and pipelines, develop ETL processes, and provide mentorship to junior engineers while collaborating with data analysts.

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

Join YipitData as a Senior Data Pipeline Engineer, building and maintaining data pipelines, collaborating on solutions and optimizing data processes, with a focus on Spark and SQL.

The Senior Data Engineer leads the design and development of data infrastructure, optimizes pipelines, mentors junior engineers, and ensures best practices in data management.

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

The Senior Data Engineer will develop, deploy, and maintain data products in a cloud environment, ensuring data quality and supporting analytics for internal stakeholders.