Mid-Level Data Engineer
Johannesburg, GP, South Africa
ZAR 400K-464K (estimate) Mid-level Full Time
Tasks
- Apply access controls and secure data handling
- Build ETL ELT pipelines for batch and real time processing
- Build automated data quality tests and validation rules
- Create semantic layer for business metrics and definitions
- Create technical documentation for pipelines and data models
- Design build and maintain cloud data platforms
- Develop and optimize data warehouse and lakehouse schemas partitioning and clustering
- Implement medallion data architecture
- Implement monitoring, alerting, and logging for data pipelines
- Maintain version control and CI CD pipelines for data workflows
- Prepare AI ready trusted feature ready datasets
- Troubleshoot data incidents and perform root cause analysis
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Airflow | Apache Spark | CI/CD | Cloud Security | DBT | Data Architecture | Data Governance | Data Observability | Data Quality | Data Testing | Data Warehousing | Dimensional Modeling | ELT | ETL | Git | Google BigQuery | Lakehouse | Looker | Medallion data architecture | Microsoft Fabric | Power BI | Python | SQL | Semantic layer
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Science | Bachelor of Science in Engineering | Bachelor of Science in Information Systems | Bachelor of Science in Mathematics
Roles
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