Senior Data Engineer
A ZAR 745K-1170K (estimate) Senior-level Full Time
Tasks
- Architect end-to-end data solutions
- Build ETL ELT pipelines and workflows
- Collaborate with data scientists analysts and product and engineering teams
- Define data modelling and engineering best practices
- Deliver curated datasets for analytics and BI
- Design scalable secure high-performance data platforms
- Ensure data quality through validation reconciliation and testing
- Implement observability with logs lineage and metrics
- Integrate data from APIs streaming platforms and third party systems
- Lead batch and real time pipeline development
- Manage orchestration scheduling and performance tuning
- Mentor and guide data engineers
- Own production pipeline monitoring and incident resolution
- Support automated deployments and post release validation
- Translate business needs into scalable technical solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Alerting | Amazon Kinesis | Azure | Azure Data | Azure Data Factory | Batch Processing | CI/CD | Cloud Pub/Sub | Cloud Security | Data Factory | Data Governance | Data Modelling | Data Quality | Data Reconciliation | Data Validation | ELT | ETL | Google Cloud | Google Cloud Pub/Sub | Infrastructure as Code | Kafka | Microsoft Fabric | Monitoring | Observability | Orchestration | Power BI | Pub/Sub | Real Time | Real-time Processing | SQL | Testing | Time processing | “as-code”
Education
N/A
Roles
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