Description

You will build and manage data workflows within an AWS ecosystem.

Responsibilities

• Set up data worlds using various connectors including Redshift, AWS Glue, and MSK.
• Harvest metadata from diverse data assets across multiple technology platforms.
• Manage data governance and security using AWS Lake Formation.
• Configure and maintain data pipelines using AWS Glue catalogs and crawlers.

Required Skills

• 10+ years of professional experience in data engineering.
• AWS Lake Formation.
• Amazon Redshift.
• AWS Glue catalog and AWS Glue crawler.
• Amazon EMR.
• Amazon S3.
• Aurora PostgreSQL.
• Experience with MSK and ServiceNow connectors.
• Any Graduate degree.

Key Skills

Education

Any Graduate