Description

You will design, architect, and implement scalable, secure data pipelines on GCP using Dataflow, Pub/Sub, and Cloud Storage.

Responsibilities

• Architect and implement data pipelines using GCP services, Spark, and Airflow.
• Develop and maintain complex data models to ensure quality, consistency, and accessibility.
• Automate data workflows and processes using Python and scripting languages.
• Lead security initiatives, including security architecture, access control, and lineage tracking.
• Mentor junior engineers and drive data quality initiatives through monitoring dashboards.
• Define strategic roadmaps for cloud transitions while managing delivery execution.

Required Skills

• 10+ years of experience in data engineering or a related role with demonstrated leadership.
• Expert-level proficiency in Python and SQL (BigQuery).
• Advanced experience 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 working within Agile methodologies.
• Ability to design and optimize complex data models for performance.
• Any Graduate degree.

Preferred Skills

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

Key Skills

Education

Any Graduate