Data Engineer
Must-have:PythonJavaGitCloudCI/CD
- 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.