Top Data Engineer Jobs in Bangalore

The Data Engineer will optimize the elluminate® platform for clinical data through coding, ETL processes, and deliver client-focused solutions while ensuring compliance with industry standards.

Design and operate enterprise data infrastructure, ensure data quality and compliance, build pipelines, and collaborate with teams to deliver trusted data products.

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 Senior Software Developer will develop and support Qlik Sense applications, ensure best practices, and improve analytics processes while collaborating with clients and teams.

The Senior Data Engineer designs and maintains complex data systems for analysis and reporting, develops automated pipelines, and collaborates with teams to optimize data solutions.

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 Azure Data Engineer will design, develop, and maintain data infrastructure and pipelines, ensuring data quality, integrity, and alignment with business objectives. Responsibilities include collaborating with teams and establishing best practices for data engineering.

As a Data Engineer III, you will design and develop scalable cloud-native solutions, build data pipelines for LLM-based AI systems, and mentor junior developers.

The Associate Graduate Data Engineer supports tasks in their specialization, collaborates with senior colleagues, and seeks learning opportunities, while performing administrative and technical duties.

The Clinical Data Engineer designs and implements data pipeline architectures, supervises clinical data integration, and collaborates with cross-functional teams, ensuring data-driven decision-making in life sciences.

As a Data Engineer, design and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes for effective data migration.

As a Data Engineer, you'll design, develop, and maintain data solutions and pipelines, ensuring data flows efficiently and accurately across systems.

The Data Engineer role involves developing and maintaining scalable data platforms on AWS, building data pipelines, and ensuring data quality. Strong skills in AWS, SQL, and Python are essential, along with collaboration with various stakeholders.

The Data Engineer will develop, build, and maintain scalable data platforms on AWS, focusing on data pipeline development, cloud data engineering, and analytics. Responsibilities include designing ETL pipelines, optimizing data models, monitoring and troubleshooting data pipelines, and collaborating with stakeholders to deliver data solutions.

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

As a Data Engineer, you will develop a scalable Data Lake-house, manage complex data ingestion, and optimize query engines to facilitate real-time data processing and analytics.

As a BI Architect, you'll design and maintain BI solutions, collaborate with cross-functional teams, and ensure data integrity while mentoring junior members and leading continuous improvement efforts.

As a Data Engineer II, you will enhance the SIXT Data Platform by implementing AWS, big data tech, and automating data processes, collaborating cross-functionally with Data Engineers, Analysts, and Scientists.

Lead and implement AWS and big data technologies, automate data workflows, architect solutions for analytics, and drive AI capabilities in the SIXT Data Shop.

Lead design and development of scalable hybrid retrieval architectures, build data pipelines, innovate retrieval techniques, and collaborate on database technologies for AI integration.

The Data Engineer develops and implements data engineering solutions for analytics. Responsibilities include data analysis, mapping specifications, and ETL job automation.

As a Data Engineer, design and implement processes for a billing system, requiring SQL expertise and experience with various databases and the Zuora platform, along with a strong collaboration in Agile environments.

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.