Enterprise Data Engineer
Tasks
- Adopt agile development and continuous improvement
- Build and manage batch data pipelines
- Build automated test frameworks and harnesses
- Contribute to work estimation
- Deliver end to end data solutions from requirements to production deployment
- Design secure supportable corporate data solutions
- Develop test and quality assure data pipelines into Data Lake
- Develop test and quality assure reports and dashboards
- Develop test and quality assure semantic models
- Draft and update service policies procedures work instructions
- Support onboarding and coach data engineers
Perks/Benefits
Skills/Tech-stack
Agile | Apache Spark | Automated testing | Azure | Azure Data | Azure Data Factory | Azure DevOps | Data Factory | Data Lake | Data Modeling | Data Quality | Data pipeline | Databricks | Dimensional Modeling | Lakehouse | Python | SQL | Scrum | Semantic layer | Test automation
Education
N/A
Roles
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