Description

Design, develop, and maintain scalable data pipelines and ETL/ELT workflows on Google Cloud Platform.

This role is on-site.

Responsibilities

• Build and optimize data solutions using BigQuery, Dataflow, Dataproc, and Cloud Storage.
• Integrate data from multiple sources while ensuring data quality and governance standards.
• Monitor, troubleshoot, and optimize data pipeline performance for large-scale processing.
• Implement CI/CD and automation for data engineering workflows.
• Collaborate with data scientists and business teams to deliver data-driven solutions.

Required Skills

• 6+ years of experience as a Data Engineer.
• Proficiency in Google Cloud Platform services, specifically BigQuery, Dataflow, Dataproc, and Cloud Storage.
• Strong proficiency in Python and PySpark for data engineering tasks.
• Good knowledge of ETL/ELT processes and data pipeline development.
• Proficiency in SQL.
• Experience with CI/CD and workflow automation.
• Ability to optimize and troubleshoot complex data pipelines.

Preferred Skills

• Understanding of data integration, data quality, and data governance frameworks.
• Strong analytical and problem-solving skills with effective communication abilities.

Key Skills

Education

Any Graduate