Responsibilities :

1. Engage with business and technical stakeholders to understand data requirements and translate them into robust technical designs and architecture.

2. Own solution planning, task breakdown, and end-to-end delivery execution.

3. Design and develop optimized ETL/ELT pipelines, ensuring high data quality, reliability, and performance.

4. Collaborate effectively with cross-functional and internal teams to deliver technical solutions.

5. Troubleshoot data and system issues, optimize performance, and ensure timely delivery.

6. Mentor and guide junior developers, ensuring adherence to best practices and engineering standards.

7. Resolve complex technical challenges and provide support throughout the development lifecycle.

8. Maintain BI platforms, optimize performance, and ensure accuracy and consistency of reporting.

Experience & Skills :

1. 8-11 years of experience in Data & Analytics, with 5+ years of hands-on experience in Azure data engineering technologies.

2. Strong hands-on expertise in Python, SQL, and PySpark.

3. Strong experience with Databricks Unity Catalog for data governance and security.

4. Strong sense of ownership, accountability, and execution discipline across multiple initiatives.

5. Excellent communication skills, with the ability to effectively engage and manage business stakeholders.