Description

You will design and build ETL pipelines using PySpark and AWS Glue.

This role is on-site.

Responsibilities

• Develop and maintain ETL workflows using PySpark and AWS Glue.
• Optimize data processing jobs for performance and cost.
• Collaborate with data engineers to ensure data integrity and availability.
• Debug and resolve issues in production data pipelines.

Required Skills

• 6+ years of experience in data engineering or ETL development.
• Strong proficiency in PySpark.
• Hands-on experience with AWS Glue for serverless ETL.
• Understanding of data warehousing concepts and SQL.
• Experience with Python programming.

Preferred Skills

• Familiarity with AWS data services (S3, Redshift, Athena).

Key Skills

Education

Any Graduate