Top Data Engineer Jobs in Bangalore

This role involves leading the development of high-quality data products using Snowflake and AWS, focusing on data pipelines, ETL, and collaboration on best practices.

The Cloud Data Engineer will design, develop, and optimize cloud-based data pipelines using AWS, Snowflake, Airflow, and DBT for advanced analytics and data warehousing. Responsibilities include automating workflows, managing data warehouses, collaborating with teams, and ensuring data quality and performance.

As a Cloud Data Engineer, you'll develop and optimize cloud data pipelines, manage Snowflake data warehouses, and collaborate with teams to support analytics and decision-making.

Lead the architecture and development of cloud data platforms, implementing data engineering solutions, optimizing performance, and mentoring teams.

As a Data Engineer at NXP, you'll enhance the R&D data analytics platform, collaborating cross-functionally, designing ETL pipelines, ensuring data quality, and optimizing performance.

Design and build data infrastructure and architecture, optimize data processes, implement ELT applications, and develop high-quality data pipelines for clients.

As a Data Engineer, you'll develop and maintain data pipelines, collaborate with teams to deliver solutions, optimize performance, and mentor others in the field.

The Principal Data Engineer leads data engineering projects, integrating and automating data pipelines, and ensuring data quality and security while influencing strategic decisions.

The Data Engineer designs and develops data pipelines for storage and processing, optimizes data integration, and collaborates with analysts on data models and KPIs, while leveraging cloud and AI technologies.

Design and develop Hyperion and OneStream applications, implement data rules, collaborate with users for technical specifications, ensuring data quality and advanced analytics.

Design, develop, and implement large-scale applications and data engineering solutions using Azure tools and data analytics. Requires extensive experience with SQL and cloud development.

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.

The Data Platform Engineer collaborates with architects to design data platforms, ensuring integration of systems, and leads discussions on implementing data solutions.

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.