Description

You will lead the design and implementation of ETL pipelines and data processing workflows on AWS and Azure. You own the reliability, integrity, and maintainability of the data platform.

This role is on-site.

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 and maintainable pipeline design.

Required Skills

• 5+ years of relevant ETL and data engineering experience.
• Proficiency in Python for data integration and scripting.
• Strong SQL skills for data querying and model building.
• Hands-on experience with AWS cloud services for data engineering.
• Experience with Databricks for data processing and pipeline development.
• Proven track record in ETL development.

Preferred Skills

• Azure cloud experience.

Key Skills

Education

Any Graduate