Description

You will design and build scalable ETL/ELT pipelines and data models on Google Cloud Platform.

This role is on-site.

Responsibilities

• Build scalable ETL/ELT pipelines using Apache Airflow, Apache Spark, and GCP Dataflow.
• Develop and maintain BigQuery data models, schemas, and performance-optimized SQL queries.
• Create data pipelines that feed AI/ML feature stores and forecasting models.
• Manage and optimize Cloud Composer DAGs and pipeline orchestration.
• Implement data quality monitoring, alerting, and lineage tracking.

Required Skills

• 5+ years of experience with Apache Airflow.
• Strong proficiency in Apache Spark for data processing.
• Hands-on experience with GCP Dataflow.
• Expert-level SQL and BigQuery optimization.
• Experience building pipelines for AI/ML workloads.
• Ability to collaborate with AI Developers on low-latency data access.

Key Skills

Education

Any Graduate