Data Engineer / Senior Data Engineer

Datamatics Technologies

UAE
On-site
Azure data factory (adf)
Microsoft fabric
Pyspark and sql
Datamatics Technologies is seeking a Data Engineer or Senior Data Engineer to design and maintain scalable data pipelines within the Azure ecosystem in the UAE. The ideal candidate will have strong experience with Azure Data Factory, PySpark, and SQL, with a focus on building efficient data solutions for analytics and reporting

Job Summary

  • Design, build, and maintain robust ETL/ELT pipelines using Azure Data Factory (ADF) and Microsoft Fabric.
  • Implement and manage Lakehouse architecture using Medallion (Bronze, Silver, Gold) layers.
  • Collaborate with BI developers and analysts to enable data models and reporting solutions.

Matching Summary

Match Score: 85

Datamatics Technologies is seeking a Data Engineer or Senior Data Engineer to design and maintain scalable data pipelines within the Azure ecosystem in the UAE. The ideal candidate will have strong experience with Azure Data Factory, PySpark, and SQL, with a focus on building efficient data solutions for analytics and reporting.

Skills & Requirements

Must-have

  • Azure Data Factory (ADF)
  • Microsoft Fabric
  • PySpark and SQL
  • Lakehouse architecture
  • Medallion architecture
  • Azure Data Lake Storage (ADLS)
  • Delta Lake

Nice-to-have

  • Data governance best practices
  • Data quality and consistency
  • Stakeholder collaboration
  • Agile environments

Key Requirements

  • 3-5 Years for Data Engineer
  • 5-10 Years for Senior Data Engineer
  • Hands-on experience with ADF and ADLS
  • Strong programming skills in PySpark and SQL
  • Experience building ETL pipelines
  • Understanding of Lakehouse and Medallion architecture
  • Familiarity with Delta Lake concepts
  • Extensive experience in Azure data ecosystem and Microsoft Fabric
  • Deep understanding of Lakehouse, Medallion architecture, and Delta Lake
  • Proven experience handling large-scale distributed data processing
  • Strong performance tuning and optimization skills
  • Experience leading projects and mentoring teams

Work Rights

Not specified

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