Description

You will design and develop data engineering solutions within the Google Cloud Platform ecosystem.

Responsibilities

• Design and build data ingestion pipelines to move data from Azure Blob, Azure SQL, AWS S3, and flat files into GCP.
• Develop data engineering workflows using GCP services including Dataflow, BigQuery, Cloud Functions, Pub/Sub, and Composer.
• Implement data modeling and Enterprise Data Warehouse (EDW) designs.
• Manage data lifecycle processes across data lakes and warehouse environments.
• Maintain code integrity using Git and version control systems.

Required Skills

• 13+ years of professional experience in data architecture or engineering.
• Deep proficiency with GCP services: Dataflow, BigQuery, Cloud Functions, Pub/Sub, and Composer.
• Strong programming skills in Python.
• Advanced SQL and data modeling expertise.
• Experience with Azure SQL, Azure Blob, and AWS S3.
• Hands-on experience with Enterprise Data Warehouse (EDW) design and data lake concepts.
• Proficiency with Git and version control.
• Any Graduate degree.

Key Skills

Education

Any Graduate