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Open nowFirst seen 39 hours ago

Product Data Engineer

Boardroom Appointments3,354 open roles

Where
Stellenbosch, South Africa
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Your applicationOpen nowProduct Data EngineerBoardroom Appointments · Stellenbosch, South Africa

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Boardroom Appointments's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 39 hours ago

The posting

About the Role

  • Maintain, enhance, and develop new Enterprise tables in the Enterprise Data Warehouse based on the Kimball methodology.
  • Contribute to evolving the Company data landscape through:Sharing of knowledge Contributing new data features Enhancing/streamlining existing data products (e.g., improve and optimize code)

Education

Minimum

  • A relevant tertiary qualification in Information Technology or Data Analysis

Ideal or Preferred

  • A relevant degree in Data Engineering
  • Certification in Data Warehousing

Knowledge and Experience

Experience

Minimum

  • At least 1 year of proven engineering experience in warehouse environments (preferred in AWS Redshift SQL)OR
  • At least 1 year of dimensional data modeling experience or engineering experience

Proven Experience in

  • SQL
  • Control M (Scheduling toolset)
  • Version control in Git and the use of CI/CD deployments

Ideal Experience in

  • Dimensional data structures (Kimball)
  • Core AWS services (S3, Redshift, Airflow)
  • Columnar database management systems
  • Data warehouse architectures
  • AWS Well-Architected Framework
  • Understanding of Banking business model and systems environment
  • Software version control systems (Git) and deployment tools (CI/CD)
  • Collaboration tools (JIRA, Confluence, Draw.io)
  • Data Governance, Data Quality, Metadata, Lineage, and Data Security

Knowledge

Minimum

  • Detailed knowledge of:SQL Data analysis Software testing

Ideal

  • Data analysis and design
  • Data architecture (technical design and implementation processes)
  • DPLC

Skills

  • Analytical Skills
  • Communication Skills
  • Computer Literacy (MS Word, MS Excel, MS Outlook)
  • Problem-solving Skills

Additional Information

  • Clear criminal and credit record
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  1. A CV for this posting

    Written against Boardroom Appointments's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Boardroom Appointments's form

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    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

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  5. Reply with AI

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

more interviews than doing it yourself with ChatGPT.

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The numbers game

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