Senior Data Engineer
Tasks
- Automate data processing
- Build data pipelines and integrations
- Collaborate with product owners data scientists analysts and engineers
- Design data pipelines and integrations
- Develop reusable data engineering patterns
- Enforce data governance and compliance
- Implement data observability
- Implement data quality controls
- Ingest, process, and store large data volumes
- Manage secure high availability data lakes warehouses and databases
- Mentor review designs and code
- Monitor troubleshoot and resolve data pipeline issues
- Operate and maintain data pipelines
- Transform raw and streaming data into data products
Perks/Benefits
- Annual leave
- Enhanced family leave
- Flexible benefits
- Life assurance
- Pension
- Personal accident cover
- Physiotherapy
- Private healthcare
- Virtual GP service
Skills/Tech-stack
Agile | Apache Spark | Automation | Azure | By Design | CI/CD | Change Management | Cloud Integration | Data Engineering | Data Modeling | Data Observability | Data Pipelines | Data Quality | Data Transformation | Databricks | Delta Lake | Distributed Processing | Edge-to-cloud | Edge-to-cloud integration | Incident Management | Mqtt | Performance Tuning | Problem Management | Python | Query Language | SQL | Scala | Secure by Design | Structured Query | Structured Query Language | Testing | Unified namespace
Education
N/A
Roles
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