Data Engineer-Spark/Iceberg + SQL

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