Description

You will own the design, development, and technical leadership of scalable data solutions on Google Cloud Platform.

This role is hybrid.

Responsibilities

• Design and maintain scalable data pipelines using GCP services like BigQuery, Dataflow, and Cloud Storage.
• Process large-scale datasets with PySpark and optimize pipeline performance for efficiency.
• Write complex SQL queries for data extraction and transformation.
• Lead ETL workflow implementation to ensure data accuracy and integrity.
• Provide technical mentorship, code reviews, and leadership to the engineering team.

Required Skills

• 8-10 years of experience in Data Engineering roles.
• Proven experience with Google Cloud Platform (GCP) data services.
• Strong programming skills in PySpark and Python.
• Advanced proficiency in SQL for large, complex datasets.
• Deep understanding of ETL frameworks and data pipeline orchestration.
• Experience leading or mentoring technical engineering teams.
• Familiarity with Agile/Scrum methodologies.

Key Skills

Education

Any Graduate