Top Data Engineer Jobs in Bengaluru

Design, build, and maintain scalable data pipelines and infrastructure while optimizing data systems. Collaborate with teams to ensure data reliability and compliance, and document internal standards.

This role involves developing and optimizing data solutions using PySpark and Informatica BDM while collaborating with various teams on Risk & Compliance platforms.

As a Data Engineer, you'll optimize data workflows, design robust data solutions, and collaborate with teams to support data-driven initiatives.

Looking for a Data Engineer to build scalable data pipelines with PySpark, perform impact analysis, and ensure data quality in collaboration with the Group Operations Team.

The Data Engineer will build scalable data pipelines, perform data analysis and ensure high-quality data solutions aligned with enterprise data models.

The Data Engineer collaborates with Group Risk to create and support data pipelines for IFRS9 reporting, utilizing PySpark and Informatica BDM, ensuring data quality, and overseeing ETL processes.

The AWS Data Engineer will design and implement data pipelines using AWS services, develop ETL processes, and optimize data storage solutions.

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.

Responsible for designing and maintaining data architecture, developing and deploying data solutions that meet organizational needs.

The Looker Data Engineer will develop Looker data models, optimize reporting solutions, use Looker APIs, and work with SQL and cloud platforms.

The Data Engineer will design and develop scalable data architectures and real-time streaming pipelines, manage enterprise data ecosystems, and ensure data governance and quality, primarily within the banking sector.

The Data Engineer is responsible for designing and maintaining data architecture and infrastructure, developing data solutions, and ensuring they meet organizational needs.

You will own critical data pipelines, design data models, build ingestion pipelines, ensure data correctness, collaborate with teams, and improve metrics.

Develop ETL pipelines and data transformations for analytical reports. Responsibilities include data ingestion, transformation, troubleshooting, and ensuring data structures for reporting support.

The Test Data Management Engineer will design, implement, and manage test data solutions for financial applications while ensuring compliance with data privacy regulations. Responsibilities include data analysis, provisioning, and optimizing TDM processes, collaborating with various stakeholders, and enhancing automation workflows.

The Senior Data Engineer will design and optimize scalable data pipelines, implement real-time streaming pipelines, collaborate with data scientists, and oversee CI/CD and data quality practices.

The Senior Data Engineer will build and optimize data pipelines in Azure Databricks, migrate existing pipelines from Azure Synapse, and design scalable data models to support a financial services client's data platform modernization.

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.

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

The Senior Data Engineer - II will design data pipelines, optimize ETL workflows, manage databases, and support Power BI reporting for business decisions.