Description

You will design, build, and optimize large-scale data pipelines and analytics solutions on Google Cloud Platform.

Responsibilities

• Design and maintain data models and datasets in BigQuery, ensuring scalability and performance.
• Write and optimize complex SQL queries, views, and stored procedures using the BigQuery dialect.
• Build and manage ETL/ELT pipelines using Cloud Storage, Dataflow, and Dataproc to ingest structured and semi-structured data.
• Implement query optimization techniques, including partitioning and clustering, to reduce costs and improve speed.
• Collaborate with BI and analytics teams to deliver reliable data products and support CI/CD practices.

Required Skills

• 5–9 years of overall experience in data engineering or analytics engineering.
• 3+ years of hands-on experience with GCP BigQuery and strong proficiency in SQL.
• Solid understanding of data warehousing concepts and data modeling techniques.
• Experience with batch and near real-time data processing at scale.
• Proficiency in Python or Shell scripting for automation and pipeline logic.
• Familiarity with Git and CI/CD deployment practices.
• Strong analytical and debugging skills with attention to data quality and consistency.

Key Skills

Education

Any Gradute