Top Data Engineer Jobs in Bangalore

The role involves leveraging data to support financial transformations and promoting a flexible, inclusive work environment for career growth.

The Senior Data Engineer will design and implement big data applications and manage data pipelines, ensuring stability and performance. The role involves working with product owners and cross-functional teams to solve complex challenges around data enrichment.

The AWS Data Engineer Consultant will design and develop scalable data pipelines using AWS services, ensuring data quality and governance while collaborating with cross-functional teams.

The AWS Data Engineer will design and build scalable data pipelines using AWS services, ensuring data quality and governance while collaborating with cross-functional teams.

Lead design, build, and optimization of cloud data ingestion, processing, and enrichment pipelines. Maintain data models and workflows feeding analytics systems, ensure data quality, integrate internal systems and third-party APIs, tune stored procedures, and support analytics applications while enabling reporting and advanced analysis for business insights.

As a Senior Data Engineer at Roku, you will build scalable data pipelines, maintain fault-tolerant systems, and collaborate with teams to enhance data solutions.

Lead the design and implementation of data engineering solutions on AWS, focusing on scalable data pipelines, data lakes, and warehouses, while mentoring teams and ensuring data quality.

The Senior Data Analyst will ensure data accuracy and resolve quality issues while collaborating across teams to enhance the open-source knowledge base.

This role focuses on maintaining data quality standards in open-source software intelligence, resolving software data quality issues, and collaborating across teams to ensure accurate vulnerability intelligence.

The Senior Data Engineer will lead the development of data pipelines and ETL processes, ensuring scalable data solutions, collaborating with cross-functional teams, and enhancing data accessibility and usability.

The Sr. Data Engineer will design and implement a Customer Data Platform, managing data pipelines and ensuring data quality for analytics and engagement.

As a Data Engineer, you will design and maintain data pipelines, enhance blockchain reporting, and ensure data quality while integrating external data sources and working with various teams.

As a Software Data Engineer, you'll implement and optimize data pipelines in a healthcare environment, ensuring compliance and data quality while collaborating with cross-functional teams.

Lead the design and development of the enterprise analytics platform, mentor a team, and manage data architecture, ensuring optimal performance and integration of various data sources.

Lead design and implementation of large-scale ETL pipelines and backend data workflows on AWS. Develop, optimize, and maintain data processing solutions, CI/CD for data code, mentor engineers, resolve data quality and performance issues, and collaborate with cross-functional teams to support production data products.

The Senior Data Engineer collaborates with various teams to design and develop ETL pipelines, optimize data processes, and integrate domain knowledge into analytics to drive business insights and data quality improvements.

The Data Engineer will design and maintain ETL pipelines, optimize data models, ensure data quality, and transform HR data into actionable insights for workforce decisions.

The Data Engineer will build and maintain ETL/ELT pipelines, implement automated data quality checks, optimize data storage, and create interactive visualizations. They will manage CI/CD pipelines and deliver production-ready data solutions.

Exusia seeks a Snowflake Data Engineer to develop large-scale data pipelines and models, collaborate with stakeholders, and ensure data accuracy.

The Analytics Data Developer will implement TSQL stored procedures, tune SQL scripts, determine data transformations, and support stakeholders for consistency in data management.

The Lead Data Engineer will oversee data engineering responsibilities using AWS technologies and manage data workflows and architectures.

The Data Engineer will design, build and maintain data pipelines, optimize performance, enforce data governance, and collaborate with teams to support model development.

The Data Engineer designs and implements scalable data processes, manages data pipelines, assists data scientists, and supports the organization's cloud strategy while leading junior engineers.

As a Senior Data Engineer, you will design and manage real-time and batch data pipelines, collaborating with various teams to enhance data analytics capabilities.

Lead the design and implementation of data pipelines and data architectures using AWS services. Oversee data engineering projects and collaborate with teams to optimize data processes.