AWS Data Engineer

Key Responsibilities:

Design and develop data ingestion pipelines using AWS Lambda and AWS Glue.
Build and maintain ETL workflows leveraging Python, PySpark, and SQL.
Integrate data from multiple sources ensuring performance, reliability, and scalability.
Optimize data processing and transformation jobs within AWS environments.
Collaborate with cross-functional teams to support data integration and analytics initiatives.

Required Skills:

Strong hands-on experience with AWS services such as Lambda and Glue.
Solid integration development experience within AWS cloud environments.
Proficiency in Python, PySpark, and SQL.
Good understanding of data processing, transformation, and ingestion frameworks.

Desirable Skills:

Advanced expertise in Python.
Experience working on enterprise-scale data platforms.
This is an excellent opportunity for professionals looking to work on modern cloud-based data engineering solutions.