Data Engineer
Tasks
- Apply dimensional modeling and ETL design practices
- Contribute to continuous improvement of data platforms tooling and processes
- Design build and maintain remediation data solutions aligned to governance standards
- Develop and optimize data pipelines transformations and data models
- Drive best practices in coding testing documentation and data governance
- Identify and manage data related risks for timely resolution and escalation
- Manage and prioritize data backlog
- Own and manage remediation data assets for accuracy completeness auditability
- Provide coaching and technical guidance to data analysts
- Support remediation initiatives with reporting and performance tracking
- Translate business rules into auditable SQL logic
Perks/Benefits
- Hybrid working model
- Inclusive collaborative purpose driven culture
- Learning and development opportunities
Skills/Tech-stack
Automated testing | Data Governance | Data Modeling | Data Transformation | Data pipeline | Databricks | DevOps | Dimensional Modeling | ETL | SQL
Roles
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