What are the responsibilities and job description for the ETL / Data Engineer position at Zuplon?
Role: ETL / Data Engineer (BigQuery & Starburst)
Location: Charlotte, NC (Onsite)
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 (Google Cloud Platform, AWS, Azure)
Exposure to data lakehouse architectures and federated query models
Understanding of supporting AI/ML and analytics workloads