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.

• 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.

• 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.

• Strong analytical and problem-solving mindset for debugging correctness and performance issues.

• Clear communication — able to document migration decisions and work with analytics, platform, and
  business teams.

• Ownership mentality with attention to data correctness and reliability.

Education: Bachelor of Engineering

• Preferred skills: Technology->Big Data
• Data Processing->Spark->SparkSQL,Technology->Data on Cloud-Data Store->Snowflake