Roles and Responsibilities :

- Design, develop, test, deploy and maintain large-scale data pipelines using PySpark on Azure Data Bricks.

- Collaborate with cross-functional teams to gather requirements and deliver high-quality data solutions.

- Ensure scalability, reliability, security and performance of the data architecture by implementing best practices in design and implementation.

- Troubleshoot complex issues related to big data processing, ETL processes, and data quality.

Job Requirements :

- 10-14 years of experience in a similar role as Lead Data Engineer or equivalent position.

- Solid expertise in Microsoft Azure platform including Data Factory (ADF), Synapse Analytics (SQL DBA), Databricks etc. .

- Proficiency in working with PySpark on Azure Data Bricks for building scalable data pipelines.

📌 Lead Data Engineer (Bengaluru)
🏢 Navikenz India
📍 Bengaluru