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Data Engineer

16 days ago39 views
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General Details
Location:
Mamelodi, Pretoria / Tshwane
Advertised By:Agency
Company Name:Executive Placements
Job Type:Full-Time
Description
REQUIREMENTS
Minimum education (essential):
  • BSc in Computer Science, Engineering or relevant field
Minimum applicable experience (years):
  • 2-4 years
Required nature of experience:
  • Experience with SQL Server and Azure Synapse Analytics/Microsoft Fabric for query writing, indexing, performance tuning and schema design.
  • Hands-on experience developing ETL pipelines, including data extraction from REST/SOAP APIs, databases and flat files.
  • Proficiency in data transformation using Python and Azure-native tools.
  • Experience with data warehousing.
  • Background in data modelling, including dimensional modelling, schema evolution and versioning.
  • Practical knowledge of cloud-based data storage and processing using Azure Blob Storage.
  • Familiarity with pipeline optimisation, fault tolerance, monitoring and security best practices.
  • Experience developing web applications using C# and the .NET platform.
  • Experience with front-end development using Blazor, React.js, JavaScript/TypeScript, HTML, CSS/SCSS.
Skills and Knowledge (essential):
  • SQL Server, Azure Synapse Analytics, Azure Blob Storage, Microsoft Fabric
  • Python
  • REST/SOAP APIs, Data Extraction, Transformation, Loading (ETL)
  • Azure Data Factory, Pipeline Orchestration
  • Dimensional Modelling, Schema Evolution, Data Warehousing
  • Power BI
  • Performance Optimisation, Indexing, Query Tuning
  • Cloud Data Processing, Backups
  • C#, .NET, Blazor
  • JavaScript/TypeScript, HTML, CSS/SCS
Other:
  • Proficient in Afrikaans and English
  • Own transport and license

KEY PERFORMANCE AREAS AND OBJECTIVES
ETL and Pipeline Development
  • Design, build, and orchestrate efficient ETL pipelines using Azure Synapse for both batch and near-real-time data ingestion.
  • Extract data from a variety of structured and unstructured sources including REST APIs, SOAP APIs, databases, and flat files.
  • Apply robust data transformation logic using Python and native Azure Synapse transformation tools.
  • Optimise data flows for performance, scalability, and cost-effectiveness.
  • Implement retry mechanisms, logging and monitoring within pipelines to ensure data integrity and fault tolerance.
Data Architecture and Management
  • Design and manage scalable and efficient data architectures using Microsoft SQL Server and Azure services, including Synapse Analytics/Microsoft Fabric and Blob Storage.
  • Develop robust schema designs, indexes and query strategies to support analytical and operational workloads.
  • Support schema evolution and version control, ensuring long-term mai
    https://www.executiveplacements.com/Jobs/D/Data-Engineer-1227925-Job-Search-11-13-2025-00-00-00-AM.asp?sid=gumtree
Id Subtitle 1342373741
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Executive Placements
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