Senior Data Engineer
Tasks
- Architect data platform governance
- Build data interfaces for model development
- Build data pipelines
- Collaborate on data requirements
- Deduplicate data
- Design data pipelines
- Enforce data quality
- Enrich data
- Ensure data privacy and security
- Implement access controls
- Implement automated data validation
- Implement lineage tracking
- Ingest and transform structured data
- Ingest and transform unstructured data
- Maintain data lineage
- Maintain data pipelines
- Monitor data quality
- Normalize data
- Optimize data workflows
- Prepare clean datasets for AI ML
Perks/Benefits
- 401k match
- Enhanced parental leave
- Flexible time off
- Flexible work hours
- Free snacks & drinks
- Health, Vision, Dental, Life Insurance
- Healthcare concierge
- Healthy Minds app
- In-office collaboration days
- Inclusive culture
- Regular social events
- Unlimited LinkedIn Learning access
- Wellness days
Skills/Tech-stack
AI Foundry | Access Control | Azure AI | Azure AI Foundry | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Machine Learning | Data Governance | Data Lake Storage | Data Lineage | Data Pipelines | Data Privacy | Data Quality | Data Security | Data Validation | Data quality monitoring | Databricks | Databricks Workflows | Delta Lake | Delta Lake Tables | Delta Live Tables | Delta Live) | Git | Lakehouse Architecture | Machine Learning | Medallion Architecture | Microsoft Fabric | PySpark | Python | Quality monitoring | Spark SQL | Unity Catalog
Education
Roles
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