Live opening · Posted 11 days ago
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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.
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. 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.
Work arrangement
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