Data Engineer

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.