Top Data Engineer Jobs in Kolkata

As a Senior Data Engineer, you will design, develop, and maintain data infrastructure, optimize performance, and collaborate with teams for data-related initiatives.

The role involves managing BI tools, developing ETL pipelines, creating documentation, training team members, and ensuring compliance with standards.

Design, build, and operationalize large-scale data solutions using Google Cloud Platform. Optimize data pipelines and perform data transformation and ingestion tasks using various technologies.

As a Data Engineer, you will create and maintain data solutions, optimizing data infrastructure while implementing ETL processes and ensuring data quality.

The Senior Data Engineer will enhance data reliability and quality, integrate raw data from various sources, and develop architectures for data modeling.

The Senior Data Engineer will design and implement ELT processes, develop scalable data pipelines, and collaborate on data integration using AWS services. The role requires 5+ years experience, particularly in data engineering environments.

Design and implement large-scale data solutions on Google Cloud Platform, optimizing data pipelines and managing analytics operations.

Design, develop, and maintain data pipelines for HR systems, ensuring data accuracy and accessibility for People Analytics.

The Data Engineer will build and scale data platforms, design robust data pipelines, collaborate with teams, and ensure data infrastructure meets performance and reliability standards.

Design and implement large-scale data solutions using Google Cloud Platform. Build and optimize data pipelines and ingestion functions for performance and cost.

The Sr. Data Engineer will design and implement data pipelines, utilizing big data tools and technologies. Responsibilities include programming in Pyspark/Scala, managing scheduling with Airflow, and troubleshooting code issues. The role supports financial and energy sectors, emphasizing innovative solutions in data engineering.

As a Data Engineer at Sporty, you will design and maintain data pipelines, ensure data quality, and work on data applications and architectures for machine learning initiatives.

As a Data Engineer at FairMoney, you'll design and maintain data solutions, implement ETL processes, and build data orchestration pipelines while ensuring data quality and supporting business stakeholders in data-driven decision-making.

The role involves creating data pipelines, developing statistical models, collaborating with data teams, and ensuring compliance with privacy regulations.

Design and implement large-scale data solutions on GCP. Optimize data pipelines and ingestion functions for performance and cost.

The Data Engineer will design and implement large-scale enterprise data solutions on Google Cloud Platform, optimizing data pipelines, performing data transformations, and ensuring efficient data ingestion and curation.

The Data Engineer will build infrastructure tools to support trading teams, optimize data processes, and coordinate with global teams, ensuring efficient data delivery and coding standards.