Are you a seasoned data professional passionate about transforming complex data into actionable insights? Join a leading provider of end-to-end data solutions, renowned for delivering large-scale projects across Africa, the Middle East, Australia, and Europe. We are seeking a dedicated Microsoft SQL Data Engineer / ETL Developer to help our clients harness their data assets effectively.
Duties:
-
Plan and analyse complex business requirements to design and implement technology-enabled solutions.
-
Collaborate with cross-disciplinary teams in analysis, planning, and design activities.
-
Develop, modify, and evaluate high-complexity programs in line with specifications.
-
Conduct quality reviews and walkthroughs of deliverables.
-
Design and develop end-to-end data acquisition processes for data warehouses and data marts.
-
Provide guidance and mentorship in business intelligence systems and ETL processes.
-
Establish and support standards for data acquisition development.
-
Create and execute complex ETL routines ensuring compliance with policies and standards.
Requirements:
-
Extensive MS SQL Data Engineering experience.
-
Strong expertise in SSIS and SSRS.
-
Proficiency in requirement analysis and database design.
-
Knowledge of source systems and dimensional data models.
-
Skilled in database and data warehouse modeling.
-
Programming experience in relevant languages for data staging and ETL development.
-
Deep understanding of SQL and ETL tool capabilities.
-
Attention to detail and pride in work.
-
Relevant ETL and BI solution training.
-
A B.Sc. or related degree is advantageous.
-
2+ years of programming experience.
Familiarity with the following:
-
Server Analysis Services (SSAS)
-
Data Engineering
What We'll Give You:
-
Competitive salary ranging from R30,000 to R60,000 per month (Cost to Company) – Negotiable.
-
The opportunity to work on impactful projects in a dynamic and growth-oriented environment.
-
On-site work environment.
If you are ready to elevate your data engineering career and make a significant impact, and become part of a global leader in data solutions.
