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Data Engineer with German

Джерело:
djinni.co
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Що робити

  • Design, develop, and maintain data integrations and pipelines using Azure Databricks, PySpark, and Python.
  • Implement data integrations according to predefined interface specifications and architectural guidelines.
  • Perform data profiling, implement data quality rules, and ensure data consistency and reliability.
  • Develop, activate, monitor, and optimize data flows from source systems into data products.
  • Support the development and integration of Power BI semantic models, datasets, reports, and dashboards.

Що очікуємо

  • Proven commercial experience in Data Engineering.
  • Hands-on experience with Azure Databricks and PySpark.
  • Strong programming skills in Python and SQL.
  • Experience designing and implementing ETL/ELT pipelines and data integrations.
  • Good understanding of modern data platform architectures, particularly Lakehouse.

Що пропонуємо

  • Experience with Azure Synapse Analytics.
  • Knowledge of the DQX Framework or similar data quality frameworks.
  • Experience with Terraform and Infrastructure as Code (IaC).
  • Familiarity with Azure DevOps, GitHub, and CI/CD pipelines.
  • Understanding of Data Mesh principles and API-based integrations.

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