Top Data Engineer Jobs in Kolkata

Develop Databricks pipelines, improve data quality, work on healthcare data, and collaborate with stakeholders for data solutions.

As a Data Engineer I, you will design and develop data pipelines, optimize SQL queries, ensure data integrity, and collaborate with stakeholders to deliver data solutions.

The Data Engineer will build and maintain data pipelines, ensuring data quality for AI, machine learning, and data science applications. Responsibilities include data ingestion, processing, and collaboration for high-quality dataset delivery.

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.

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

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

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

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.

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.

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

The Freelance Data Engineer will analyze data, design databases, manage data operations, and collaborate on data-driven projects to optimize data infrastructure.

The Data Engineer II will design and implement data pipelines, manage data architecture, and collaborate with teams to deliver analytics solutions.

Analyze business requirements for data visualization, design and maintain PowerBI dashboards, integrate data using SQL and Snowflake, and enhance processes.

Lead the evolution of decentralized data infrastructure, design and maintain ETL/ELT pipelines, and collaborate across teams to derive insights from data.

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

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.

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 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.