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Data Engineer

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Location:

Cape Town, Western Cape 

Salary:

Negotiable per month

Posted:

02-03-2020
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Job Type:

Permanent

Job Level:

Skilled

Employment Equity:

South African Citizens Only
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Job Description:

We are looking for an individual that excels in the design and modelling of data structures in both; traditional data warehouse methodologies and cloud-based data warehouse technologies. Offer a deep understanding of the creation, interpretation, and management of large datasets to achieve business goals while ensuring that the process to evaluation datasets for accuracy and quality exist throughout the entire data pipeline.

The ideal candidate would also have a deep understanding of updating, indexing, and maintaining large-scale data-warehouse and cloud data-warehouse technologies and excel in working with Business stakeholders to develop key business questions and build data/information models that answer these questions.

Responsibilities

  • Develop in collaboration-manner with fellow team members aligned with the strategic direction of the Analytica and BI function, to ensure that the company has access to optimal analytics for strategic decision-making.
  • Develop, construct, test and maintain data pipelines. (DataOps)
  • Ensure architecture to support requirements business vs. analytical
  • Develop data sets and processes for data modelling, mining, and production.
  • Recommend ways to improve data reliability, efficiency, and quality within the architectural landscape.
  • Deployment of ML and AI models and concepts.
 

Skills

  • BSc in Computer Science or Engineering or similar qualification. 
  • Excellent command of the English language, especially written and spoken.
  • Understanding of cloud-based computing.
  • 10-12 years’ experience building database technologies with the Microsoft SQL stack e.g. SSIS, SQL, SSAS and SSRS.
  • 5-8 years’ experience in data modelling.
  • 5-8 years’ scripting experience using Microsoft technologies e.g. PowerShell, MDX, DMX, DAX, and JavaScript.
  • 3-5 years’ experience working in an analytics environment.
  • Design and implementation of data warehouse environment. 
  • Deep understanding of data warehouse methodologies and principles. 
  • Experience in analytical-thinking and problem-solving utilizing any of the following toolset Python, R-Script, Julia, MATLAB or TensorFlow. 
  • Experience in visualization tools like PowerBI, Tableau, Pyramid Analytics, Qlik, and Domo is advantageous. 
  • Proven experience using any of the following engineering methodologies Analytical, design, computational thinking.
  • Understand Big Data technologies and concepts.
  • Ability to multi-task and switch effectively between different activities and teams.
  • Able to work effectively in a team environment.

Please note that only candidates who are SA citizens and who are currently based in Cape Town may apply.  No relocation will be considered.

Job Category:

IT Business Analyst, IT Data Analyst, IT Data Warehouse
Company Info
Barretts Recruitment
Cape Town, WC, South Africa

Please register to view contact info


Company Profile



Company Info


Barretts Recruitment
Cape Town, WC, South Africa

Please register to view contact info


Data Engineer

col-narrow-left   

Location:

Cape Town, Western Cape 

Salary:

Negotiable per month

Posted:

02-03-2020
col-narrow-right   

Job Type:

Permanent

Job Level:

Skilled

Employment Equity:

South African Citizens Only
col-wide   

Job Description:

We are looking for an individual that excels in the design and modelling of data structures in both; traditional data warehouse methodologies and cloud-based data warehouse technologies. Offer a deep understanding of the creation, interpretation, and management of large datasets to achieve business goals while ensuring that the process to evaluation datasets for accuracy and quality exist throughout the entire data pipeline.

The ideal candidate would also have a deep understanding of updating, indexing, and maintaining large-scale data-warehouse and cloud data-warehouse technologies and excel in working with Business stakeholders to develop key business questions and build data/information models that answer these questions.

Responsibilities

  • Develop in collaboration-manner with fellow team members aligned with the strategic direction of the Analytica and BI function, to ensure that the company has access to optimal analytics for strategic decision-making.
  • Develop, construct, test and maintain data pipelines. (DataOps)
  • Ensure architecture to support requirements business vs. analytical
  • Develop data sets and processes for data modelling, mining, and production.
  • Recommend ways to improve data reliability, efficiency, and quality within the architectural landscape.
  • Deployment of ML and AI models and concepts.
 

Skills

  • BSc in Computer Science or Engineering or similar qualification. 
  • Excellent command of the English language, especially written and spoken.
  • Understanding of cloud-based computing.
  • 10-12 years’ experience building database technologies with the Microsoft SQL stack e.g. SSIS, SQL, SSAS and SSRS.
  • 5-8 years’ experience in data modelling.
  • 5-8 years’ scripting experience using Microsoft technologies e.g. PowerShell, MDX, DMX, DAX, and JavaScript.
  • 3-5 years’ experience working in an analytics environment.
  • Design and implementation of data warehouse environment. 
  • Deep understanding of data warehouse methodologies and principles. 
  • Experience in analytical-thinking and problem-solving utilizing any of the following toolset Python, R-Script, Julia, MATLAB or TensorFlow. 
  • Experience in visualization tools like PowerBI, Tableau, Pyramid Analytics, Qlik, and Domo is advantageous. 
  • Proven experience using any of the following engineering methodologies Analytical, design, computational thinking.
  • Understand Big Data technologies and concepts.
  • Ability to multi-task and switch effectively between different activities and teams.
  • Able to work effectively in a team environment.

Please note that only candidates who are SA citizens and who are currently based in Cape Town may apply.  No relocation will be considered.

Job Category:

IT Business Analyst, IT Data Analyst, IT Data Warehouse

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