Description

You will design, build, and optimize scalable data pipelines supporting analytics and AI-driven use cases.

This role is on-site.

Responsibilities

• Design and develop scalable ETL/ELT pipelines for structured and semi-structured data.
• Build and optimize data ingestion, transformation, and loading processes into BigQuery.
• Implement federated query solutions using Starburst (Trino/Presto) across heterogeneous data sources.
• Ensure data quality, validation, and governance across pipelines.
• Manage scheduling, orchestration, and monitoring of ETL workflows.

Required Skills

• Strong experience in Google BigQuery, including data modeling, querying, performance optimization, and cost management.
• Hands-on experience with ETL/ELT pipeline development and large-scale data processing.
• Experience with Starburst / Trino / Presto for distributed query processing.
• Proficiency in Python, SQL, and Spark-based processing frameworks.
• Experience with workflow orchestration tools such as Airflow or ADF.
• Strong understanding of data warehousing concepts and data governance.
• 10+ years of professional experience.

Preferred Skills

• Experience with cloud data platforms (GCP, AWS, Azure).
• Exposure to data lakehouse architectures and federated query models.

Key Skills

Education

Any Graduate