Description and Location 6–9 years of hands-on data engineering experience. ?Strong expertise in Apache Spark (batch + streaming) and Hive. ?Proficiency in Python, Scala, or Java. ?Knowledge of orchestration tools (Airflow / Control-M) and SQL transformation frameworks (DBT preferred). ?Experience working with Kafka, Solace, and object stores (S3, MinIO). ?8年以上經(jīng)驗 Exposure to Docker/Kubernetes for deployment. Hands on experience of data Lakehouse formats (Iceberg, Delta Lake, Hudi). 8年經(jīng)驗,英語溝通