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Engineer, Data

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Job Description - Engineer, Data

Company Description

Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

Job Description

To develop and maintain complete data architecture across several application platforms, provide capability across application platforms. To design, build, operationalise, secure and monitor data pipelines and data stores to applicable architecture, solution designs, standards, policies and governance requirements thus making data accessible for the evaluation and optimisation for downstream use case consumption. To execute data engineering duties according to standards, frameworks, and roadmaps

Qualifications

  • First Degree in Computer Science or Information Technology as well as Microsoft SQL Server certification or similar
  • Must have Microsoft Azure Data Tools experience with Microsoft Azure Data Fundamentals (DP 900) and Microsoft Fabric Data Engineer Associate (DP 700) certification
  • Must have Azure Cloud experience
  • 5+ years' experience as a SQL Developer with excellent understanding of T-SQL programming and Microsoft SQL Server
  • Must be able to construct databases, and have at least 5 years' experience with ETL tools such as SSIS, Data Stage, Data Ingestion and be familiar with automation tools such as M-Control or SQL Server Agent
  • Jira experience will be an advantage

Additional Information

Behavioural Competencies:

  • Adopting Practical Approaches
  • Articulating Information
  • Checking Things
  • Developing Expertise
  • Documenting Facts

Technical Competencies:

  • Big Data Frameworks and Tools
  • Data Engineering
  • Data Integrity
  • Data Quality
  • IT Knowledge
  • Stakeholder Management (IT)
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