ETL Data Engineer (BigQuery & Starburst)

Role Summary
We are looking for ETL/Data Engineers with strong experience in BigQuery and Starburst to design build and optimize scalable data pipelines supporting analytics and AI-driven use cases.

Key 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
• Develop federated query solutions using Starburst (Trino/Presto) across heterogeneous data sources
• Implement data modeling schema design and partitioning strategies for performance optimization
• Ensure data quality validation and governance across pipelines
• Collaborate with data science and AI teams to enable downstream analytics and Gen AI use cases
• Manage scheduling orchestration and monitoring of ETL workflows

Required Skills

• Strong experience in Google BigQuery (data modeling querying performance optimization 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 (Airflow ADF etc.)
• Strong understanding of data warehousing concepts and data governance

Preferred

• Experience with cloud data platforms (GCP AWS Azure)
• Exposure to data lakehouse architectures and federated query models
• Understanding of supporting AI/ML and analytics workloads