Trino Developer

We are looking for a Trino Developer who can own query engine performance, lead migration of existing pipelines and warehouses, and help establish a scalable, cost-efficient lakehouse architecture. You will work at the intersection of query engineering, data modeling, and platform operations — translating legacy Snowflake/Spark logic into performant Trino + Iceberg workloads while ensuring correctness, parity, and reliability. Technical Requirements: • Experience leading a Snowflake ® Trino or Spark ® Trino migration at scale. • Trino cluster administration and deployment on Kubernetes. • Workflow orchestration (Airflow, Dagster, or similar) and dbt. • Experience building data-validation / reconciliation frameworks for migration parity. • Knowledge of Trino internals or connector development (contributing custom connectors/UDFs). • Streaming/CDC ingestion into Iceberg (Kafka, Flink, Debezium). • Data governance, lineage, and cost-optimization tooling. Responsibilities: Hands-on production experience with Trino (or PrestoSQL/Presto). • Strong, deep SQL expertise — complex analytical queries, window functions, CTEs, query optimization. • Hands-on experience with Apache Iceberg (or comparable open table formats — Delta Lake, Hudi) including schema/partition evolution and table maintenance. • Practical experience with Snowflake and/or Apache Spark — enough to read, understand, and migrate existing workloads. • Understanding of distributed query execution: MPP architecture, join distribution, memory/spill behavior, partition pruning, and predicate pushdown. • Experience with cloud object storage and columnar file formats (Parquet, ORC). • Proficiency in at least one programming language (Python, Java, or Scala) for tooling, UDFs, and automation. • Version control (Git) and CI/CD for data pipelines. Preferred Skills: Technology->Big Data - Data Processing->Spark->SparkSQL,Technology->Data on Cloud-DataStore->Snowflake