Job Summary:
Contribute to building state-of-the-art data platforms in AWS, leveraging Python and Spark. Be part of a dynamic team, building data solutions in a supportive and hybrid work environment. This role is ideal for an experienced data engineer looking to step into a leadership position while remaining hands-on with cutting-edge technologies. You will design, implement, and optimize ETL workflows using Python and Spark, contributing to our robust data Lakehouse architecture on AWS. Success in this role requires technical expertise, strong problem-solving skills, and the ability to collaborate effectively within an agile team.
Must Have Tech Skills:

Demonstrable experience as a senior data engineer.

Expert in Python and Spark , with a deep focus on ETL data processing and data engineering practices.

Experience of implementing data pipelines using tools like EMR, AWS Glue, AWS Lambda, AWS St...