Data Engineer, Medical Data Foundation
Tasks
- Collaborate on data lifecycle modeling for data hub data warehouse data marts analytic platforms
- Define and maintain taxonomies metadata and controlled vocabularies
- Define common data model and data transformation approach
- Develop data leveraging strategies with stakeholders
- Drive data source and design decisions
- Ensure consistency of data processes and champion best practices
- Ensure data governance security and privacy controls with IT and privacy
- Establish onboarding process for medical data products
- Implement data privacy and data management guideline actions
- Improve and deploy data architecture solutions
- Monitor and ensure data quality and integrity
- Oversee data accuracy processes and communicate data models
- Query datasets to validate business rules and resolve conflicts
- Support medical platform ingestion transformation and reporting workflows
Perks/Benefits
- After-work events
- Hybrid work
- Life insurance
- Lunch card
- Multisport card
- Pension plan
- Private medical care
Skills/Tech-stack
Alation | Azure Data | Azure Data Factory | Azure Synapse | Azure Synapse Analytics | Collibra | Controlled vocabulary | DBT | Data Architecture | Data Factory | Data Governance | Data Lineage | Data Modeling | Data Privacy | Data Quality | Data Security | Data analytics | Data orchestration | Databricks | ELT | ETL | Healthcare Data | Healthcare Data Analytics | Informatica | Knowledge graphs | Metadata Management | OKRs | Ontologies | Python | SQL | Snowflake | Synapse Analytics | Taxonomy
Roles
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