Data Platform Engineer
Tasks
- Create architecture documentation
- Define and document data architectures
- Design reusable component libraries and UI patterns
- Design testing strategies and pipelines
- Enforce code reviews and validation
- Establish coding standards and policies
- Identify performance bottlenecks and governance gaps
- Improve CI/CD workflows and automate deployments
- Lead ontology governance and schema reviews
- Mentor development team on architecture and best practices
- Review and stabilize data platform implementations
- Validate platform solutions
Perks/Benefits
Skills/Tech-stack
AWS Glue | Azure Synapse | Big Data | Code review | Communication | Data Architecture | Data Governance | Data Lineage | Data Modeling | Data Pipelines | Data Processing | Data Quality | Data Transformation | Databricks | DevOps | Distributed data | Distributed data processing | ETL | English | Foundry | French | Git | Leadership | ML/DL | ML/DL deployment | MLOps | Performance Tuning | Performance optimization | PostgreSQL | PySpark | Python | SQL | Scalability | Spark | Testing Automation | TypeScript
Roles
Data Platform | Data Platform Engineer | Engineer | Platform Engineer
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