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Senior Data Engineer

Рівень:
senior
Джерело:
djinni.co
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Що робити

  • Own lakehouse architecture, including Bronze/Silver/Gold layers, Iceberg/Delta tables, and schema evolution.
  • Build CDC streaming pipelines using Kafka, Debezium, or similar technologies, handling late and duplicate events.
  • Optimize data storage and query performance through partitioning, compaction, and file sizing.
  • Manage data retention, archival, regulatory requirements, and GDPR deletion.
  • Ensure data accuracy through freshness SLAs, drift detection, and reconciliation with wallet and ledger systems.

Що очікуємо

  • 5+ years of experience in Data Engineering, with proven ownership of large-scale data lake or lakehouse architectures.
  • Production experience with cloud storage (S3/GCS) and Snowflake, Databricks, or BigQuery.
  • Hands-on experience with open table formats (Iceberg, Delta, or Hudi).
  • Strong understanding of partitioning, file layout, and query optimization at terabyte scale.
  • Experience with CDC and streaming ingestion (Kafka, Debezium, or equivalent).

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