Jobs → Data & Analytics → Starburst Data Engineer

About the Role We are looking for an experienced Data Engineer to join our team. This role focuses on supporting enterprise data platform modernization and migrating workloads from Apache Hive to Starburst (Trino). Key Responsibilities • Support migration of data workloads from Apache Hive to Starburst (Trino). • Troubleshoot production issues, failed queries, connectivity, and access problems. • Optimize complex SQL queries for performance and compatibility. • Monitor platform health, query execution, and resource utilization. • Assess Hive schemas, queries, and pipelines for migration readiness. • Improve query performance through partitioning, caching, and file format optimization. • Participate in incident management, root-cause analysis, and platform upgrades. • Collaborate with engineering, architecture, infrastructure, and business teams. Requirements • Advanced SQL, complex joins, window functions, and query optimization. • Apache Hive and distributed data processing. • Knowledge of Starburst, Trino, or Presto. • Data lake technologies, HDFS, and Amazon S3. • Parquet and ORC file formats. • Partitioning, bucketing, and performance tuning. • Exposure to AWS, Azure, or Google Cloud Platform. Good to Have • Experience with Apache Iceberg, Delta Lake, data governance, metadata management, and large-scale data platform migration projects.