We're looking for a highly skilled and experienced Lead Data Engineer to architect, implement, and maintain robust data models and infrastructure. In this role, you'll be instrumental in building high-performance ETL pipelines, managing data integration from diverse sources, and ensuring top-tier data quality, governance, and security. You'll collaborate closely with cross-functional teams, translating complex business needs into scalable technical solutions, all while troubleshooting and optimizing data workflows. This is an excellent opportunity to work on high-visibility projects with real-world impact, leveraging cutting-edge cloud and big data technologies.
Responsibilities
- Architect and implement data models and infrastructure to support analytics, reporting, and data science initiatives.
- Build high-performance ETL pipelines and manage data integration from multiple sources.
- Maintain data quality, governance, and security standards across all data workflows.
- Collaborate with cross-functional teams to translate business needs into robust technical data solutions.
- Troubleshoot, optimize, and document scalable data workflows for continuous improvement.
Requirements
We're looking for a candidate with:
- 7+ years of experience as a Data Engineer, with at least 4 years in cloud ecosystems.
- Strong expertise in Azure (Azure Data Factory, Data Lake Gen2, Databricks) or AWS.
- Proficiency in Python and SQL; experience with Spark, Kafka, or Hadoop is a plus.
- Deep understanding of data warehousing, OLAP (Online Analytical Processing), and data modeling principles.
- Familiarity with visualization tools like Power BI, Tableau, or Looker.
What's in It for You
- Work on high-visibility projects with real-world impact.
- Access to cutting-edge cloud and big data technologies.
- Enjoy a flexible hybrid work environment in Bangalore.
- Be part of a dynamic and collaborative global work culture.
