Senior Azure Data Engineer: Enterprise Analytics

Matisaar Technologies

Sandton

On-site

ZAR 900,000 - 1,300,000

Full time

2 days ago
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Job summary

Matisaar Technologies in Sandton is seeking a Senior Azure Data Engineer to design, develop, and maintain enterprise-scale data platforms on Microsoft Azure and Fabric. You will build scalable ETL/ELT pipelines, implement data governance, and deliver analytics-ready datasets for BI.

The role requires hands-on expertise with Azure Data Factory, Databricks, PySpark, Synapse, ADLS Gen2, and Delta Lake, plus strong collaboration with data scientists, architects, data engineers and business

Qualifications

  • 6+ years of experience in Data Engineering.
  • Bachelor's Degree in Computer Science, IT, Engineering, or related field.
  • Strong hands-on experience with Azure Data Factory, Azure Databricks, PySpark, Azure Synapse, and Microsoft Fabric.

Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Fabric Data Factory, and Azure Databricks.
  • Build metadata-driven and parameterized pipeline frameworks for reusable and scalable data integration.
  • Develop batch and near real-time ingestion pipelines from databases, APIs, flat files, and streaming platforms.
  • Implement CDC and incremental loading strategies for efficient data processing.

Skills

6+ years Data Engineering

Education

Bachelor's Degree in Computer Science/IT/Engineering

Tools

Azure Data Factory
Azure Databricks
PySpark
Azure Synapse
Microsoft Fabric
Delta Lake
ADLS Gen2

Job description

Matisaar Technologies in Sandton is seeking a Senior Azure Data Engineer to design, develop, and maintain enterprise-scale data platforms on Microsoft Azure and Fabric. You will build scalable ETL/ELT pipelines, implement data governance, and deliver analytics-ready datasets for BI.

The role requires hands-on expertise with Azure Data Factory, Databricks, PySpark, Synapse, ADLS Gen2, and Delta Lake, plus strong collaboration with data scientists, architects, data engineers and business

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