Qureos

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Azure Data Engineer

United Arab Emirates

We are looking for a highly skilled Senior Azure Data Engineer with extensive experience in building and managing modern data pipelines using the Azure ecosystem. The ideal candidate will have strong hands-on expertise in Azure Data Factory, Databricks, Synapse Analytics, and Python/PySpark.

Payroll : HTC Global

Location : Remote

Key Responsibilities:

  • Design and implement end-to-end data pipelines on Azure platform.
  • Work with Azure Data Factory, Databricks, Synapse, and other Azure services.
  • Write efficient Python and PySpark code for data transformation.
  • Implement data ingestion from diverse sources including APIs, SFTP, and messaging platforms.
  • Optimize performance of ETL/ELT jobs and manage medallion architecture (bronze/silver/gold layers).
  • Design and implement data models and data warehouse architecture.
  • Collaborate with BI teams to enable data access via Power BI and other tools.
  • Mentor junior team members and promote best practices.
  • Ensure security, reliability, and performance of data infrastructure.
  • Participate in Agile/Scrum ceremonies and contribute to sprint planning and delivery.

Required Skills:

  • 8+ years of total IT experience, with 5+ years in Azure data engineering.
  • Expertise in ADF, Azure Databricks, Synapse, ADLS Gen2.
  • 3+ years of hands-on experience with Python/PySpark.
  • Solid SQL skills and data modeling expertise.
  • Working knowledge of Power BI, APIs, and SFTP.
  • Understanding of Agile delivery methodologies.
  • Experience with CI/CD pipelines and source control (Git/Azure DevOps).
  • Strong analytical and communication skills.

Preferred:

  • DP-200 / DP-201 / DP-203 certification.
  • Experience with Cosmos DB, Event Hub, or other Azure messaging services.

We are looking for a highly skilled Senior Azure Data Engineer with extensive experience in building and managing modern data pipelines using the Azure ecosystem. The ideal candidate will have strong hands-on expertise in Azure Data Factory, Databricks, Synapse Analytics, and Python/PySpark.Payroll : HTC Global Location : Remote Key Responsibilities:

  • Design and implement end-to-end data pipelines on Azure platform.

Required Skills:

  • 8+ years of total IT experience, with 5+ years in Azure data engineering.
  • Expertise in ADF, Azure Databricks, Synapse, ADLS Gen2.
  • 3+ years of hands-on experience with Python/PySpark.
  • Solid SQL skills and data modeling expertise.
  • Working knowledge of Power BI, APIs, and SFTP.
  • Understanding of Agile delivery methodologies.
  • Experience with CI/CD pipelines and source control (Git/Azure DevOps).
  • Strong analytical and communication skills.

Preferred:

  • DP-200 / DP-201 / DP-203 certification.
  • Experience with Cosmos DB, Event Hub, or other Azure messaging services.

Job Types: Full-time, Permanent

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