Description

You will design, build, and optimize scalable data solutions on Google Cloud Platform.

This role is hybrid.

Responsibilities

• Design, develop, and maintain scalable data pipelines on GCP.
• Build and optimize data models using BigQuery for analytics and reporting.
• Develop and manage ETL/ELT pipelines using PySpark.
• Write optimized and complex SQL queries for large datasets.
• Troubleshoot data pipeline issues and ensure data quality and governance.

Required Skills

• 5+ years of experience as a Data Engineer.
• Strong proficiency with Google Cloud Platform (GCP).
• Hands-on experience with BigQuery for data warehousing.
• Expert-level SQL skills for complex queries and optimization.
• Experience building ETL/ELT pipelines using PySpark.
• Experience with Cloud Storage, Dataflow, and Dataproc.
• Any Graduate.

Preferred Skills

• Knowledge of dimensional modeling and data warehousing concepts.
• Experience handling large-scale structured and semi-structured data.
• CI/CD exposure for data pipelines and Agile/Scrum experience.

Key Skills

Education

Any Graduate