Description

You will own the end-to-end data engineering pipeline development.

This role is hybrid.

Responsibilities

• Migrate and process data using the Google Cloud stack.
• Implement data workflows across BigQuery, Cloud Dataflow, and Cloud Dataproc.
• Manage data storage and services including Cloud Storage and Cloud Bigtable.
• Utilize Cloud Pub/Sub and Cloud Composer for orchestration.
• Apply DevOps practices within a GitHub environment.

Required Skills

• 10+ years of professional experience in data engineering.
• Expert proficiency with BigQuery.
• Hands-on experience with Cloud Dataflow and Cloud Dataproc.
• Experience managing data in Cloud Storage and Cloud Dataprep.
• Familiarity with Cloud Pub/Sub and Cloud Composer.
• Proficiency in DevOps methodologies using GitHub.
• Any Graduate.

Key Skills

Education

Any Graduate