Top Data Engineer Jobs in Kolkata

The Data Engineer will build scalable data pipelines, integrate client data, address data quality challenges, and contribute to team workflows to transform and enrich data for actionable insights.

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

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

The Senior Data Engineer will design data architectures, build scalable pipelines, and work with data teams to empower decision-making with company-wide 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.

Seeking a Data Engineer to enhance business insights through SAS processes, manage data operations, and mentor junior team members in a fast-paced environment.

As a Data Engineer, you will transform data into valuable insights, develop data pipelines, and support data scientists while ensuring data quality.

As a Data Engineer, you will build and monitor large-scale data pipelines, develop DBT setups for data transformation, and address customer issues with the data platform team.