Data Engineer-Spark/Iceberg + SQL
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Description
Job Title:
Data Engineer - Apache Doris
Data Engineer -
• Hands-on production experience with Apache Doris (or a comparable MPP OLAP engine - StarRocks, ClickHouse, Greenplum). • Strong, deep SQL expertise - complex analytical queries, window functions, CTEs, query optimization. • Solid understanding of Doris architecture (FE/BE), the three data models (Duplicate/Aggregate/Unique), partitioning, bucketing, and tablet/replica management. • Experience with Apache Iceberg (or comparable open table formats - Delta Lake, Hudi) and lakehouse / external-catalog federation. • Practical experience with Snowflake and/or Apache Spark- enough to read, understand, and migrate existing workloads. • Understanding of distributed / MPP query execution: join distribution, runtime filters, memory management, and data skew. • Hands-on production experience with Trino (or PrestoSQL/Presto) • Understanding of distributed query execution: MPP architecture, join distribution, memory/spill behaviour, 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.
Mandatory skills*
Apache Doris / Spark/Iceberg + SQL
Desired skills*
Apache Iceberg / Lakehouse technologies, Advanced SQL, Trino/Presto, Snowflake, Spark
Data Engineer - Apache Doris
Data Engineer -
• Hands-on production experience with Apache Doris (or a comparable MPP OLAP engine - StarRocks, ClickHouse, Greenplum). • Strong, deep SQL expertise - complex analytical queries, window functions, CTEs, query optimization. • Solid understanding of Doris architecture (FE/BE), the three data models (Duplicate/Aggregate/Unique), partitioning, bucketing, and tablet/replica management. • Experience with Apache Iceberg (or comparable open table formats - Delta Lake, Hudi) and lakehouse / external-catalog federation. • Practical experience with Snowflake and/or Apache Spark- enough to read, understand, and migrate existing workloads. • Understanding of distributed / MPP query execution: join distribution, runtime filters, memory management, and data skew. • Hands-on production experience with Trino (or PrestoSQL/Presto) • Understanding of distributed query execution: MPP architecture, join distribution, memory/spill behaviour, 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.
Mandatory skills*
Apache Doris / Spark/Iceberg + SQL
Desired skills*
Apache Iceberg / Lakehouse technologies, Advanced SQL, Trino/Presto, Snowflake, Spark