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Senior Data Engineer (AI & Analytics Platform)

StellarsTech
Формат:
повний remote
Рівень:
senior
Джерело:
jobs.dou.ua
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Що робити

  • Design and implement a 4-layer Medallion architecture to process data from three major banking source systems (Core, Internet, and Online banking).
  • Build and maintain robust ETL pipelines using Azure Data Factory for overnight data synchronization (T-1).
  • Develop a Platinum (Semantic) layer that maps complex banking business logic into governed, metadata-driven views.
  • Collaborate on the integration of NLP-to-SQL logic, ensuring the AI generates accurate queries with built-in guardrails.
  • Implement rigorous security measures, including Row-Level Security (RLS), schema-level tenant isolation, and PII anonymization protocols.

Що очікуємо

  • 5+ years of experience in Data Engineering with strong experience in building Data Warehouses.
  • Deep expertise in Microsoft Azure data services, including Azure SQL Database, Azure Data Factory, and Azure Data Lake Storage Gen2 (ADLS).
  • Expert-level knowledge of T-SQL and relational database design.
  • Strong experience with Kimball dimensional modeling and multi-layer data architectures.
  • Strong understanding of data privacy requirements and experience working with sensitive financial data (PII).

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