• Innovative Design: Create and develop solutions using Informatica, Ab Initio, and IBM`s WebSphere Data Integration Suite.
• ETL Expertise: Design and develop extract, transform, and load (ETL) processes for efficient data movement.
• Lifecycle Implementation: Participate in the full lifecycle implementation of technical components for business intelligence solutions.

Required Education:

• Bachelor’s Degree

Required Skills, Technical and Professional Expertise:

• Experience: 4 to 7 years of full-time working experience in the Data Engineering domain.
• Technical Mastery: Expertise in Python, SQL, Spark, and Kafka with a solid understanding of databases.
• Integration Know-How: Proven experience in on-premise data integration.
• Data Modeling: Proficiency in Data Modeling, industrial modeling, Analytic models, data architecture, dimensional modeling, 3rd normal form model, Kimball model, Inmon model, Data Integration, and Business Intelligence.
• Solution Oriented: Demonstrated ability to manage data ingestion, cleansing, ETL processes, data mart creation, and data exposure for consumers.

Preferred Skills, Technical and Professional Expertise:

• Certification: Cloud Data Engineer Certification.

Travel Required:

• No Travel

Additional Information:

• Preferred Education: Bachelor’s Degree
• Position Type: Professional

Why Join Us?

• Be part of a dynamic and innovative team.
• Work on cutting-edge data integration projects.
• Grow your career in a supportive and collaborative environment.

Ready to make a difference with your data engineering skills? Apply now and embark on an exciting career journey with us!
Data Engineer-Data Integration position available in South Africa, South Africa. This job position was posted by Liyema Consulting. The job has been posted as a char8000 ad on 2025-04-17 at 01:07:07 in the It Computer category

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