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Open nowFirst seen 32 hours ago

Data Engineer | DISA-DIA-DE-JHB-0065

Decision Inc27 open roles

Where
Johannesburg, South Africa
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Your applicationOpen nowData Engineer | DISA-DIA-DE-JHB-0065Decision Inc · Johannesburg, 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 Decision Inc'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.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Decision Inc postings stay open a median of 20 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: first seen 32 hours ago

Decision Inc median: 20 days open

The posting

We are looking for a Data Engineers to join our Data, Information and Analytics team as client-facing, permanently employed consultants. Someone who is passionate about data and implementing technology solutions and leading project teams to achieve business outcomes. There will be exposure to a wide range of industries, so the ability to quickly understand new business environments is essential.

Who are we?

Decision Inc. is a global management and technology consulting organization. We help companies become Data Driven Businesses that are fit to take on the challenges of a digital world. Transforming their current operations and developing their new business platforms to scale innovation into the future. Our experience in leading technology and industry specializations have enabled us to help companies to make better decisions, faster. We represent the leading technology brands and are experts in the implementation, support and execution of these technologies.

What Will You Do?

Key Responsibility:

You will be assigned a portfolio of project to:

  • Modernizing existing data environment
  • Assisting our sales team with Pre-Sales and POC’s
  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Microsoft, Azure, AWS, GCP, technologies etc. .
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Assists support desk where applicable

Who do you need to be:

  • Minimum 3-5 years working experience in data engineering.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing data pipelines, architectures, and data structures.
  • Strong analytic skills related to working with unstructured datasets.
  • Strong project management and organizational skills.

Qualifications

Bachelor's degree in Computer Science, Information Systems, Information Technology, or related field.

Master's degree in a relevant field is advantageous.

Microsoft Qualifications

Microsoft Certified Solutions Associate: Data & Analytics (Advantageous)

  • SQL Server 2016 or later
  • SQL Database Development
  • SQL Database Administration
  • SQL BI Development
  • BI Reporting (PowerBI, QlikSense, Tableau)

Microsoft Certified Solutions Expert (Advantageous)

  • Data Management & Analytics

Microsoft Azure Certifications (Advantageous)

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

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

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