Description

Own the development and maintenance of production data pipelines on GCP, focusing on scalable data products and reusable components.

This role is on-site.

Responsibilities

• Implement transformations and standardized data models using DBT for reliable downstream consumption.
• Build and operate workflow orchestration with Airflow/Cloud Composer, managing scheduling and troubleshooting.
• Develop ingestion and serving logic in BigQuery using Python and SQL, optimizing for performance.
• Support semantic search and AI-ready data enablement patterns for ML/GenAI consumption.

Required Skills

• 3-6 years of experience in GCP-based data platform development and production data pipeline implementation.
• Hands-on experience with BigQuery and Airflow (Cloud Composer) for orchestration.
• Proficiency in Python and SQL for building and maintaining production data pipelines and transformations.
• Experience with DBT for transformation workflows.
• Familiarity with semantic search enablement using production-grade data models.
• Experience with Pub/Sub and Metadata management.

Preferred Skills

• Additional cloud exposure (AWS/Azure).
• Familiarity with AI/ML data enablement patterns.

Key Skills

Education

Any Graduate