Description

You will build and maintain AWS-based data pipelines.

Responsibilities

• Build AWS data pipelines using Glue, PySpark, Python, and Lambda.
• Design and develop solutions in AWS S3 and Glue for loading, organizing, and querying data.
• Write SQL and Python code, managing source code repositories and CI/CD processes.
• Design and develop data warehouse applications using standard frameworks and AWS services like Glue ETL, EMR, and Redshift.

Required Skills

• 8+ years of experience in Data Engineering.
• Proficiency with AWS services (AWS).
• Experience with Glue and PySpark.
• Strong programming skills in Python and Lambda.
• Hands-on knowledge of SQL.
• Experience with CI/CD processes.
• Familiarity with AWS S3.

Key Skills

Education

Any Gradute