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 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 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.

The Azure Data Engineer - Manager is responsible for managing data solutions on Azure, creating data pipelines, optimizing data architectures, and ensuring compliance with best practices.

The Azure Data Engineer - Manager will design and manage data solutions on Azure, develop ETL pipelines, and enhance data architectures while ensuring compliance and collaboration across teams.

As an Azure Data Engineer Manager, you will design and implement data solutions on Azure, develop ETL processes, and optimize data storage and architecture in collaboration with stakeholders.

The Azure Data Engineer - Manager will design, implement, and manage data solutions on Azure, develop data pipelines, optimize performance, and ensure compliance with security requirements.

The Azure Data Engineer at KPMG will design, implement, and manage data solutions on Microsoft Azure, develop ETL processes, and ensure compliance with best practices while collaborating with teams.

The MDM Data Engineer will design and operate data integrations for MDM implementations, focusing on data ingestion, quality, and collaboration with architects and consultants.

The Data Engineer will design, build, and maintain scalable data platforms and pipelines, ensuring data quality and implementing data governance. Collaboration with cross-functional teams and expertise in cloud environments, particularly Azure, are key responsibilities.