1 – 1 of 1 jobs
Data Warehouse, Lake and Lakehouse architecture patterns. Distributed data processing using frameworks such as Spark or Flink. Designing and supporting batch and near-real-time ingestion pipelines. Building incremental, idempotent, and fault-tolerant data pipelines. Data quality, reconciliation, and
Recommended jobs for you
