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Data Engineer (Contracting)

Iqbusiness

Johannesburg

On-site

ZAR 500 000 - 800 000

Full time

2 days ago
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Job summary

A leading company in the Data Solutions sector is seeking Data Engineering Professionals to join their dynamic team. The role involves developing innovative data solutions, collaborating with clients, and mentoring team members. Ideal candidates will have extensive experience in data engineering, cloud technologies, and a strong understanding of data modeling and analytics.

Qualifications

  • 4-10 years of experience in Data Engineering environments.
  • Cloud experience with Microsoft Azure, AWS, or similar.
  • Extensive experience with Microsoft Azure technologies.

Responsibilities

  • Develop API endpoints, data pipelines, and high-availability data processing solutions.
  • Build and maintain relationships with clients, ensuring data confidentiality.
  • Conduct testing and root cause analysis.

Skills

Problem Solving
Creative Thinking
Collaboration
Mentorship
Systems Thinking
Accountability
Data Filtering

Education

Relevant IT qualifications

Tools

Microsoft Azure
Power BI
QlikView
Azure DevOps
CI/CD frameworks
SQL
Python
Data Factory
Databricks
Synapse Analytics

Job description

Who we are : We are a specialist team within the Solutions and Insights Business Group of IQbusiness.

We exist to grow individuals within our team to achieve their professional goals.

In doing so, we assist our clients in their growth journey with our sustained energy and enthusiasm derived from our dynamic and cohesive team.

We provide efficient and innovative Data Solutions to our clients, uplifting their businesses and enriching our team.

What we want :

We are looking for Data Engineering Professionals to join our dynamic and diverse team of Data Specialists.

If you meet some or all of the requirements below, you may possess the skills we seek.

Personal competencies we are looking for :
  • The ability to solve problems and think creatively around solutions.
  • The ability to work in an ever-changing, unstructured environment.
  • The ability to collaborate effectively with team members of varying skill sets and opinions.
  • The ability to contribute ideas and mentor others.
  • A systems approach to thinking, understanding how your work impacts the larger system.
  • The ability to work independently, take accountability, and liaise with clients.
  • The ability to focus on core requirements by filtering extraneous data.
Responsibilities :

Develop API endpoints, data pipelines, and high-availability data processing solutions to meet client needs. Build and maintain relationships with clients, ensuring data confidentiality. Design and develop data solutions for real-time and batch environments. Conduct testing and root cause analysis. Prioritize tasks and assist in data modeling, analysis, and interaction with stakeholders. Provide guidance or manage teams. Uphold IQbusiness values of caring, learning, sharing, innovation, and relationship building.

Requirements :
  • 4-10 years of experience in Data Engineering environments and technologies.
  • Cloud experience with Microsoft Azure, AWS, or similar.
  • Extensive experience with Microsoft Azure technologies.
  • Experience with reporting and dashboarding tools like Power BI and QlikView.
  • Experience with Azure DevOps, CI/CD frameworks, and data modeling.
  • Knowledge of Agile and Waterfall project management methodologies.
  • Relevant IT qualifications; additional certifications are a plus.
Valuable knowledge :
  • Data modeling, relational databases, unstructured data processing.
  • Data pipelines, transformation, and analytics.
Technical competencies :
  • SQL query writing, data transformation, pipeline development.
  • Knowledge of Python and Azure technologies like Data Factory, SQL, Databricks, Synapse Analytics.
  • Experience with storage repositories and data lakes.

Note: All roles require honesty and background checks, including credit, criminal, ID, and qualification verification. IQbusiness values diversity and is committed to sustainable growth and transformation.

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