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Open nowFirst seen 17 hours ago

Data Engineer

Global One109 open roles

Where
Cape Town, WC, South Africa, Remote
Work mode
Remote
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Your applicationOpen nowData EngineerGlobal One · Cape Town, WC, South Africa, Remote

  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 Global One's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

11.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.3%7 days
  4. 17.6%14 days
  5. 34.3%30 days
  6. 43.5%60 days
This job: first seen 17 hours ago

The posting

Job brief

We are looking for an experienced data engineer to join our team. You will use various methods to transform raw data into useful data systems. For example, youll create algorithms and conduct statistical analysis. Overall, youll strive for efficiency by aligning data systems with business goals.

To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods.

If you are detail-oriented, with excellent organizational skills and experience in this field, wed like to hear from you.

Requirements

Previous experience as a data engineer or in a similar roleTechnical expertise with data models, data mining, and segmentation techniquesKnowledge of programming languages (e.g. Java and Python)Hands-on experience with SQL database designGreat numerical and analytical skillsDegree in Computer Science, IT, or similar field; a Masters is a plusData engineering certification (e.g IBM Certified Data Engineer) is a plus

Responsibilities

Analyze and organize raw data Build data systems and pipelinesEvaluate business needs and objectivesInterpret trends and patternsConduct complex data analysis and report on results Prepare data for prescriptive and predictive modelingBuild algorithms and prototypesCombine raw information from different sourcesExplore ways to enhance data quality and reliabilityIdentify opportunities for data acquisitionDevelop analytical tools and programsCollaborate with data scientists and architects on several projects

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  1. A CV for this posting

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  2. 25 readers review it

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

  3. We apply on Global One's form

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

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