Top Data Engineer Jobs in Bangalore

Lead the data engineering team to build scalable data pipelines, design data architecture, and collaborate with cross-functional partners. Ensure data quality and drive architectural vision aligned with business needs.

Join as a Data Engineer to manage end-to-end data workflows, focusing on SQL, Python or Scala, and Azure for scalable data solutions.

The Data Engineer transforms data into structured formats for analysis, develops data models, creates ETL packages, and collaborates across teams to support business analytics needs.

As a Data Engineer I, you'll design and implement ETL data pipelines, optimize data solutions in AWS and Snowflake, and ensure data quality and efficiency.

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

The role involves developing data pipelines, automated reporting systems, and analytics for finance, while collaborating with cross-functional teams to drive data-driven decision-making.

As a Data Engineer, you will work with technologies like Python and PySpark to manage and process data efficiently using tools such as Hive and Hadoop HDFS.

The Sr. Data Engineer is responsible for analyzing complex datasets, developing and implementing data pipelines, deploying AI models, troubleshooting data quality issues, and collaborating with business teams to address data needs.

The Principal Engineer - Data Quality will lead initiatives for data quality management and governance, collaborating across teams to improve data accuracy and reliability, while defining measurable metrics and implementing quality frameworks.

Lead the design and management of data infrastructure and systems, developing data solutions, guiding junior engineers, and ensuring data quality and security.

As a Sr Software Engineer, you will analyze data, implement data governance, and create visualizations while collaborating with teams to enhance data accessibility and quality.

The Data Engineer I will develop, optimize, and manage data infrastructure, focusing on database design, ETL processes, data modeling, and integration to ensure data reliability for analysis and reporting.

As a Data Engineer II, you will develop, optimize, and manage data lakes and warehouses. Responsibilities include designing data pipelines, ensuring data quality, and leveraging cloud platforms for data management.

The Senior Data Engineer will collaborate with teams to design and implement data solutions, automate processes, and deliver data engineering projects within timelines and budgets.

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.

Lead the planning and execution of data analytics projects, focusing on risk assessment and business process improvements using SQL Server products and visualization tools.

As a BI Specialist, you will develop Power BI dashboards, automate workflows, manage data in Snowflake, and contribute to applications using Streamlit while ensuring data quality and governance.

Lead BI projects by designing and optimizing dashboards in Power BI, automating workflows with Power Apps, and mentoring junior specialists while collaborating with stakeholders.

Develop and deploy data solutions using industry standards while collaborating with data scientists. Follow agile methods to deliver features and solutions.

As an Azure Data Engineer, you will build and maintain data platforms, develop data pipelines, manage data lakes, and ensure security and compliance.

The role involves designing, developing, and maintaining large scale data engineering solutions while collaborating with stakeholders on data governance and analytics.

Design, develop, and maintain integration solutions ensuring data accuracy and security, while leading junior engineers and optimizing processes.

Build infrastructure tools for trading, optimize data delivery, implement process improvements, ensure data monitoring and reporting, and write efficient code.

The Staff Data Engineer will lead data engineering efforts, designing and optimizing complex data solutions using various technologies while collaborating with cross-functional teams.

Lead data analysis projects, develop automated reports, design and maintain data pipelines, and collaborate with clients to provide data solutions.