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Data Engineer

Summary

Builds and maintains scalable data pipelines using PySpark and Azure Data Factory to process and transform large datasets for analytics and reporting.

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Must Have Skills:

  • Strong hands‑on experience with PySpark for large‑scale data processing and transformations
  • Solid experience in Azure Data Factory (ADF) for building, scheduling, and monitoring data pipelines
  • Proficient in SQL and relational database concepts
  • Strong understanding of ETL/ELT pipelines, data warehousing, and data integration patterns

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology, Consulting, and Engineering

See also