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  • Posted: Aug 26, 2020
    Deadline: Not specified
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    Datacentrix is an ICT solutions provider that uses leading solutions to deliver sustainable value to corporate and public sector organisations. We strategically partner with our customers, equipping them with valuable insight and helping them to align their technology undertakings with their business strategy. Our holistic value proposition delivers comple...
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    Solutions Architect - Data Engineering

    About

    • Our client is looking for a Solution Architect in Data Engineering to create data engineering architecture in order to deliver data pipelines into the bigger Business Intelligence environment.

    Responsibilities:

    • Define and continuously improve the data engineering architecture framework and modeling standards.
    • Define a structured data engineering architecture approach and methodology for capturing the key views of the enterprise.
    • Architect the next-generation Big Data analytics framework developed on a group of core technologies.
    • Align to the enterprise data reference architecture in support of the enterprise and regulatory information governance needs such as Information Security, Enterprise Information Management, POPI, PCI, etc.
    • Identify, define, and communicate standards, guidelines, formats, meta-models, policies, best practices, and governance practices for Data Engineering architectures and designs.
    • Ensure that the Data Engineering approach integrates into the methodologies and processes of the rest of the Enterprise Architecture team.
    • Stay abreast of best practices and/or new developments in Data engineering and related disciplines and drive adoption as deemed appropriate

    Qualifications and Experience required:

    • Degree in Information Systems / B Sc Computer Science (or similar)
    • 5+ years Experience with IT projects from an Information and Data architecture and design perspective (SDLC).
    • 5+ years of demonstrable experience in Data Engineering Architecture
    • 5+ years Proven experience creating data engineering solutions, building and maintaining reliable and scalable ETL on big data platforms as well as experience working with varied forms of data infrastructures
    • 3+ years of proven experience with data engineering in a cloud environment AWS/Azure/Google.
    • 5+ years Experience in various data modeling paradigms (dimensional, data vault, normalized, NoSQL)
    • 3+ years Experience in implementing and using EA tools and EA meta-model definition (ARIS Preferable/ or Sparx Enterprise Architect)

     

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