Top Data Engineer Jobs in Bangalore

The Semantic Data Engineer will develop operational data schemas, manage data integration, and optimize queries while ensuring quality and trust in metrics across the organization.

This role involves collecting, analyzing datasets, creating reports and dashboards, conducting statistical analysis, and ensuring data accuracy in a collaborative environment.

The Data Engineer is responsible for designing, implementing, and managing data infrastructure and analytical systems, mentoring junior engineers, and optimizing data processes using tools like Databricks and Azure.

The Sr. Data Engineer will design, build, and maintain scalable data pipelines, optimize processes, and ensure data integration using GCP and various data engineering tools.

The Senior Data Engineer will design and build data pipelines, implement testing practices, and collaborate with stakeholders to enhance player experiences through data insights.

Design, build, and operate high-scale batch and streaming data pipelines, aggregates, and dimensional models. Ensure data quality, observability, and performance; optimize costs; implement orchestration/CI-CD; and partner with backend, ML, and product teams to deliver analytics-ready datasets for prediction, BI, and measurement.

Responsible for creating and optimizing data engineering pipelines, supporting data initiatives, collaborating with software engineers and data scientists, and contributing to cloud strategy.

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.

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

The Sr Data Engineer II is responsible for technical consulting, project management, SQL development, client support, and maintaining compliance with industry standards.

As a Data Engineer, you will design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes.

The Data Engineer will design, develop, and optimize Azure-based ETL/ELT pipelines, ensuring data quality and collaboration with cross-functional teams.

The Data Engineer III will design and operate data applications, lead cross-team collaboration, and innovate on cloud data technologies. Responsibilities include enhancing data pipelines and ensuring performance, scalability, and data integrity, while mentoring and sharing knowledge within the organization.

As a Data Engineer, you will design, develop, and maintain data solutions, ensuring data quality, creating data pipelines, and implementing ETL processes.

The Data Engineer designs and develops data solutions, creating data pipelines, ensuring quality, and implementing ETL processes for data migration and deployment across systems.

As a Data Engineer, responsibilities include designing, developing, maintaining data solutions, creating data pipelines, ensuring data quality, and implementing ETL processes for data migration and deployment.

The Data Engineer designs, develops, and maintains data solutions, creating pipelines, ensuring data quality, and implementing ETL processes for effective data management.

Design, develop, and maintain data solutions, creating data pipelines, ensuring quality, and implementing ETL processes for data migration.

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.

The Data Engineer designs, develops, and maintains data solutions, creates data pipelines, ensures data quality, and implements ETL processes to migrate data across systems.

As a Data Engineer, you'll design, develop, and maintain data solutions, ensuring data quality and implementing ETL processes for data management and usability.

The Data Engineer P2 is responsible for designing and maintaining cloud-based data infrastructure, ensuring efficient data flow, and collaborating with cross-functional teams to meet data requirements.

The Data Engineer will design, develop, and maintain data solutions, including creating data pipelines and ensuring data quality through ETL processes.

As a Data Engineer, you will design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes.

As a Data Engineer, you'll design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes for data migration across systems. You'll also collaborate with teams to enhance data accessibility and usability.