Description

You will design and manage data pipelines within an AWS ecosystem.

Responsibilities

• Build and maintain ETL processes using AWS Glue and PySpark.
• Manage data workflows across S3, EMR, and Athena.
• Write and optimize complex SQL queries for database management.
• Implement deployment workflows using Git and Bamboo CI/CD tools.

Required Skills

• 6+ years of experience in data engineering.
• Proficiency in Python and PySpark.
• Hands-on experience with AWS Glue and AWS ETL workflows.
• Strong command of SQL and database management principles.
• Experience with AWS services including S3, EMR, and Athena.
• Experience using Git and Bamboo for CI/CD.
• Any Graduate degree.

Preferred Skills

• Experience with Redshift, Aurora, or DynamoDB.
• Background working in the Financial Services industry.

Key Skills

Education

Any Graduate