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Middle Data Engineer

Рівень:
middle
Джерело:
djinni.co
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Що робити

  • 1. Data Pipeline Development & Optimisation
  • Build, maintain, and optimise scalable ETL/ELT pipelines (batch and near-real-time) on Azure Data Cloud Platform (e.g., Data Lake, Microsoft Fabric, Azure Data Factory).
  • Develop and refine data models to support BI reporting, analytics, and ML/AI use cases.
  • Write efficient, well-documented T-SQL and PySpark code following team coding standards.
  • 2. Data Quality, Testing & Governance

Що очікуємо

  • Experience: 3+ years in data engineering or a closely related role.
  • Education: Bachelor’s degree in Computer Science, Data Engineering, or a related field.
  • Technical Skills:
  • ○Strong T-SQL skills and working proficiency in PySpark or Python for data processing.
  • ○Hands-on experience with MS Azure Storage Explorer and SSMS.

Що пропонуємо

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing

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