Lead Data Engineer
ZAR 600K-730K (estimate) Senior-level Full Time
Tasks
- Align solutions to group architecture data standards
- Align solutions to group infrastructure standards
- Analyze technical landscape and bank architecture
- Apply design patterns for data solutions
- Assemble large datasets and manage data pipelines
- Automate tasks with infrastructure scripting
- Build analytics tools
- Coach and mentor engineers
- Collaborate with data science teams on customer data requirements
- Conduct peer reviews and testing
- Create and support CI/CD pipelines
- Create data tools for analytics and data science teams
- Create infrastructure for high volume data delivery
- Debug and optimize data engineering code
- Design data architecture
- Develop data pipeline architecture
- Ensure data security separation and quality
- Ensure data solution self service repeatability testability scalability and resilience
- Implement data quality assurance routines
- Lead data retrieval storage processing and distribution
- Lead end to end data solution design and implementation
- Maintain application documentation and governance records
- Manage technical risks and mitigations
- Monitor performance of data products and services
- Optimize automate and improve data processes
- Participate in incident management and disaster recovery
- Provide subject matter expertise for recruiting product engineers
- Solve data volume and scaling challenges
- Support ETL from multiple data sources
Perks/Benefits
- N/A
Skills/Tech-stack
Ansible | CI/CD | Chef | Cloud Computing | Containerization | Data Architecture | Data Engineering | Data Modeling | Data Pipelines | Data Quality | Data Security | Disaster Recovery | Domain-Driven Design | ETL | Incident Management | Infrastructure automation | Jenkins | NoSQL | Relational databases | Resilience | Scalability | Scripting | Streaming Platforms | Test-Driven | Test-Driven Development
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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