Description

Key Skills: GCP, Bigquery

Roles and Responsibilities:

• Design and optimize BigQuery data models, schemas, and storage for performance and cost efficiency.
• Build scalable ELT/ETL pipelines and workflows using Cloud Composer (Airflow), Dataflow, and Dataproc.
• Write complex SQL scripts and tune query performance to minimize BigQuery slot usage.
• Ingest, transform, and manage data from diverse sources into BigQuery, including orchestration with Pub/Sub.
• Implement governance and security controls, including access management and best practices for data protection.

Skills Required:

• 6 - 12 years of relevant experience in cloud data engineering, data warehousing, and ETL/ELT pipeline development.
• Google Cloud Platform (GCP) services with hands-on experience across BigQuery, GoogleSQL, and core GCP components.
• Python for data processing and pipeline development.
• Data processing experience with Apache Spark, Apache Beam, or Hadoop.
• SQL and orchestration/deployment experience using Apache Airflow and/or Cloud Composer, plus streaming/batch integration with Pub/Sub, Dataflow, and Cloud Storage.

Good to Have:

• BigQuery-specific optimization and advanced modeling patterns for large datasets.

Education: B.E., B.Tech, MCA, M.S., or M.Sc. in Computer Science/Computer Engineering/Computer Science Engineering/Computer Technology/Computer Science and Technology

Key Skills

Education

Any Graduate