Cloud Data Engineer

3 days ago

Johannesburg, Gauteng, South Africa Boardroom Appointments Full time R1 000 000 - R3 000 000 per year


Contract Position

Minimum Requirements: 

  • Bachelor's degree with 3 years related professional experience
  • Relevant certifications, e.g., SAP, Microsoft Azure
  • Must have at least 10 years of cloud data engineering experience
  • Bachelors degree in Computer Science, Computer Engineering or a related field required
  • 8 years of experience as a Cloud Data Engineer 

Technologies:

  • Azure
  • SQL
  • Databricks

Required Experience:

  • Seasoned experience as a data engineering, data mining within a fast-paced environment
  • Proficient in building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale
  • Seasoned experience with architecture and design of secure, highly available and scalable systems.
  • Proficient in automation, scripting and proven examples of successful implementation
  • Seasoned experience in any applicable language, preferably .NET
  • Proficient in working with SAP, SQL, MySQL databases and Microsoft SQL
  • Seasoned experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots
  • Seasoned experience working in internet technologies, e.g., SaaS

Responsibilities:

  • Create data models in a structured data format to enable analysis thereof
  • Design and develop scalable extract, transform and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources
  • Participate in the transformation of object and data models into appropriate database schemas within design constraints. 
  • Interpret installation standards to meet project needs and produce database components as required
  • Create test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations
  • Develops and maintains mission-critical information extraction, analysis, and management systems
  • Provides direct and responsive support for urgent analytic needs
  • Translates loosely defined requirements into solutions.
  • Uses open source technologies and tools to accomplish specific use cases encountered within the project
  • Uses coding languages or scripting methodologies to solve a problem with a custom workflow
  • Performs incremental testing actions on code, processes, and deployments to identify ways to streamline execution and minimize errors encountered

Knowledge and skills:

  • Seasoned in the definition and management of scoping requirements, definition and prioritisation activities
  • Good understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models
  • Specialist either in Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP
  • Good understanding of data architecture landscape between physical and logical data models

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