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Data/Databricks Engineer

Джерело:
djinni.co
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Що робити

  • Design, build, and maintain scalable ETL/ELT pipelines on Databricks using PySpark and SQL.
  • Implement and evolve Delta Lake tables following a medallion (bronze/silver/gold) architecture.
  • Develop batch and, where needed, streaming data processing jobs (Structured Streaming).
  • Build and maintain CI/CD for Databricks notebooks and jobs (Databricks Asset Bundles, Repos, Git-based workflows).
  • Orchestrate pipelines with Databricks Workflows, Azure Data Factory, Airflow, or similar tools.

Що пропонуємо

  • Databricks certification (Data Engineer Associate or Professional).
  • Experience with streaming technologies such as Kafka or Azure Event Hubs.
  • Experience with dbt for transformation and testing.
  • Solid Python software-engineering practices — testing, packaging, typing.
  • Infrastructure-as-code experience (Terraform).

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