Job Description

Data Engineer
Legal requirements: Must be a South African Citizen with a clean criminal background and ITC (no bad debt) - checks will be done on shortlisted applicants.
Appointment: Permanent, full-time position
Salary: R 30 000 - R 40 000 CTC per month
Benefits: Provident Fund and December Bonus
Working hours: Office based, Monday - Friday from 08:00 to 17:00
Job Purpose:

• Design, implement, and maintain the reporting database architecture
• Build and optimize ETL pipelines
• Develop and maintain semantic models
• Support business projects through reporting

Qualifications and or Experience:

• Diploma / Degree in Information Systems, computer science or related field
• Three years of experience in data engineering or related field
• MS SQL and SSMS
• NoSQL
• SSIS and ETL pipeline development
• Strong understanding of data modelling and data warehouse design
• Ability to create entity relationship diagrams (ERDs)
• Exposure to cloud platforms is an added advantage
• Microsoft 365 suite

Beneficial
Python
R (programming language)
Power BI
Microsoft Power Automate
Microsoft Forms
Microsoft Dataverse
Working knowledge of other BI technologies
Skills, Knowledge and Attributes:

• Project management skills
• Good communication skills
• Analytical skills (Information processing)
• Interpersonal skills
• Good understanding of IT Infrastructure
• Good understanding of Microsoft applications and SQL Databases
• Experience with APIs
• Experience with data warehousing and architecture
• Ability to take ownership of a data problem or project from beginning to completion
• Excellent written, communication and presentation skills
• Excellent organizational and follow-up skills
• Competent in problem solving (problem analysis)
• Ability to create, update, and maintain technical documentation with an architectural focus, including ETL processes and entity relationship diagrams (ERDs)
• Pay attention to detail
• Monitoring
• Record keeping and documentation
• Planned change control knowledge
• Ability to work in a team
• Ability to work under pressure
• Deadline orientated
• Apply company ISO policies relating to data

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