Top Data Engineer Jobs in Bangalore

As a Data and Analytics Developer, you'll transform raw data into insights, manage BI and ETL solutions, and support stakeholders.

As a Senior Data Engineer at Roku, you will design data models and develop scalable data pipelines to capture essential metrics, ensuring data quality and efficiency in processing large datasets.

Design, develop and maintain integration solutions for data exchange between systems, manage EDI processes, and ensure compliance with standards.

As a Senior Data Engineer, you will design and implement scalable ETL/ELT frameworks, lead data engineering projects, and mentor a team while ensuring operational stability of data pipelines.

The role involves utilizing advanced technical knowledge to solve challenges while guiding teams and enhancing client solutions. Emphasis is on collaboration and extending beyond traditional coding tasks.

As a Senior Data Engineer, you will design and maintain real-time data pipelines, lead teams, manage data platform migrations, and ensure data integrity.

The role involves developing, documenting, and testing ELT/ETL solutions, integrating data from various sources, collaborating with QA, and optimizing performance.

The Senior Data Engineer develops and implements data engineering solutions, ensuring data quality and managing metadata structures, while automating processes and providing analytical support.

Lead a team of Data Engineers to modernize cloud infrastructure, migrate data to Google BigQuery, and develop scalable ETL pipelines.

The Senior Data Engineer will design and implement data processing pipelines, manage ETL processes, and ensure data quality while collaborating with stakeholders to meet business needs.

The Senior Data Engineer will develop, deploy, and maintain data products in a cloud environment, ensuring data quality and supporting analytics for internal stakeholders.

The Data Automation Test Engineer will validate data migration and ETL processes while developing a QA framework, automation scripts, and collaborating with cross-functional teams.

Analyze business requirements for data visualization, design and maintain PowerBI dashboards, integrate data using SQL and Snowflake, and enhance processes.

Design and maintain SQL-based solutions, optimize ETL workflows using SSIS, and translate business requirements into SQL queries.