Data Engineer

About

Description

Tsebo Solutions Group seeks a Data Engineer responsible for designing, building, and maintaining scalable data pipelines and systems. The role focuses on integrating, cleaning, and preparing data from multiple sources to drive business insights and support decision-making processes. The Data Engineer will also optimize data infrastructure to meet analytics and business intelligence needs.

Responsibilities

• Design and implement data pipelines for ingesting and processing data
• Optimize Azure Synapse data marts and data storage systems
• Ensure data quality and consistency across systems
• Extract, transform, and load (ETL) data while maintaining integrity
• Develop automated workflows for timely data availability
• Collaborate with stakeholders to address data issues
• Contribute to master data management and governance efforts
• Document data transformations and target mappings
• Perform data validation checks and manage version control
• Develop Power BI dashboards for visual insights
• Support reporting needs with clear data presentation
• Continuously enhance data visualization tools and methods
• Work with IT, business units, and data scientists to achieve analytics objectives
• Provide technical support and troubleshoot data pipeline issues

Qualifications

• Diploma or equivalent certification in Informatics, Statistics, Data Engineering, or related fields (BSc or BCom degree is advantageous)
• Data engineering with Python, SQL, and SSIS ETL
• Expertise in data warehousing, including dimensional modeling (preferably with knowledge of Ralph Kimball methodologies)
• Proficiency in Power BI (DAX) for data visualization and reporting
• Familiarity with data governance, master data management, and source-target mapping
• Experience with data integration, cleansing, and validation techniques
• Business analysis experience for eliciting and documenting requirements
• Strong SQL skills for data querying and transformation
• Python programming skills, especially for data manipulation
• Experience with Azure Synapse Analytics or AWS (1-2 years)
• Data Bricks experience is advantageous

Application instructions:

• To apply, simply click the apply button.