Description

You will architect and implement scalable data pipelines on Google Cloud Platform while leading security and data quality initiatives.

This role is hybrid.

Responsibilities

• Design and build data pipelines using GCP Dataflow, Pub/Sub, and Cloud Storage.
• Architect data solutions using Spark, Airflow, Python, and SQL.
• Define security architecture, access controls, and data lineage tracking.
• Mentor junior engineers and drive data quality via monitoring dashboards.
• Manage cloud transition roadmaps and Agile delivery execution.

Required Skills

• 10+ years of data engineering experience with demonstrated leadership.
• Expert-level Python and SQL (BigQuery).
• Advanced proficiency with Google Cloud Services (GCP).
• Hands-on experience building and troubleshooting complex data pipelines.
• Proficiency with Spark and Airflow.
• Working knowledge of CI/CD and Git.
• Experience with Agile methodologies.
• Ability to design and optimize complex data models.
• Any Graduate degree.

Preferred Skills

• Master’s Degree in a STEM major.
• Google Cloud certification.

Key Skills

Education

Any Graduate