Description

Key Skills: Data Engineer, AWS, SQL, Python, Data Bricks, ETL, Azure

Roles and Responsibilities:

• Design and implement ETL pipelines to extract, transform, and load data from multiple sources.
• Develop and maintain data processing workflows using Python and Databricks.
• Build and query data models using SQL to support analytics and downstream consumption.
• Deliver solutions on AWS, aligning with enterprise architecture and data platform standards.
• Lead engineering execution with a focus on data integrity, reliability, and maintainable pipeline design.

Skills Required:

• 5 - 8 years of relevant ETL and data engineering experience
• ETL development
• AWS and cloud-based data engineering
• Databricks for data processing and pipeline development
• Python and SQL for data integration and querying

Good to Have:

• Azure cloud experience

Education: Any Graduation or Any Post Graduation

Key Skills

Education

Any Graduate