About
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 Understanding of supporting AI/ML and
Preferred Experience with cloud data platforms (GCP, AWS, Azure) Exposure to data lakehouse architectures and federated query models
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
Languages
- English
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