Note: It's a contract to hire role. Apply only if you are immediately available to join with max notice period of 15 days.

Are you a data wizard with strong expertise in PySpark, SQL, and ETL pipelines? We are on the lookout for high-quality profiles only who are ready to dive into big data transformation projects and bring innovation to the table.

Key Responsibilities:

• Design, develop & optimize PySpark jobs for performance and scalability
• Collaborate with business teams to translate data requirements into solutions
• Build robust ETL workflows using Informatica PowerCenter
• Write complex SQL queries and stored procedures
• Identify and resolve data quality or performance issues

Must-Have Requirements:

Experience: 5–8 years in Data Engineering

Expertise in PySpark, SQL, ETL, Informatica PowerCenter, AWS/Azure

We’re looking for individuals with a passion for data engineering, a collaborative mindset, and the drive to create scalable data pipelines in cloud environments.