Top Data Engineer Jobs in Bengaluru

As a Data Engineer III, you will design and deliver technology solutions, create data pipelines, manage ETL jobs, and ensure code quality within an agile team. Your role involves developing secure, scalable data products that enhance understanding of customer data and improve business strategies.

As a Data Engineer III, you will design and implement scalable data solutions while ensuring data quality and availability. You will collaborate with cross-functional teams, develop reusable frameworks, and participate in code reviews to maintain high code quality. Your role will focus on modern technologies and complex data processing challenges.

As a Data Engineer at Atlassian, you'll build and manage data pipelines and services, work with stakeholders to improve data ingestion into the data lake, and create efficient micro-services. Your technical expertise will help enhance a multi-petabyte data lake using a variety of tools including Spark and AWS services.

The Data Engineer at Takeda will build and maintain scalable data pipelines, integrate AWS technologies, and enhance data models to support business intelligence tools. This role collaborates across teams to ensure data accuracy and accessibility, designed to facilitate data-driven decisions.

The Senior Data Engineer will design and maintain scalable data pipelines, develop API integrations, and collaborate with teams to enhance data models for business intelligence. Responsibilities include building algorithms, researching data acquisition opportunities, and providing technical consulting to peers.

As a Data Engineer, you will maintain and optimize database systems, ensuring their performance and security while collaborating with teams to implement new features and resolve issues. You will analyze system integrity and lead database development adhering to policies and deadlines throughout the software development lifecycle.

The Principal Data Engineer will oversee the centralized Data Management Control Tower, ensuring optimal data flow and performance. Responsibilities include incident management, data governance, performance optimization, and promoting self-service data management within teams. The role requires strategic leadership and expertise in data lifecycle management and observability solutions.

The Senior Data Engineer will build data pipelines and architect data models, collaborate with cross-functional teams, and drive the Data Ops implementation using modern technology. The engineer will work with various data streams and contribute to the development of a new data infrastructure for enterprise clients.