Sr. Data Engineer
Tasks
- Apply infrastructure as code
- Build automated data validation
- Build cloud data infrastructure
- Create data models
- Design data integrations
- Develop data pipelines
- Develop real time streaming
- Enable data lineage tracking
- Engineer lakehouse architectures
- Implement CI/CD for data assets
- Implement data governance
- Implement data masking
- Implement event-driven architecture
- Implement row level security
- Mentor junior engineers
- Optimize database performance
- Orchestrate complex workflows
- Productionalize ML feature pipelines
- Promote Agile dataops practices
- Set up automated testing for data pipelines
- Set up monitoring frameworks
- Support MLOps workflows
- Tune SQL queries
- Use Microsoft Purview for governance
- Write stored procedures
Perks/Benefits
- 401k
- Career growth mentorship
- Dental insurance
- Medical insurance
- Onsite work
- PTO
- Paid Holidays
- Vision insurance
Skills/Tech-stack
ADLS Gen2 | Agile | Azure Data | Azure Data Factory | Azure Databricks | Azure DevOps | Azure Event | Azure Event Hubs | Azure Pipelines | Azure Repos | Azure SQL | Azure SQL Database | Azure SQL Managed Instance | Azure Stream | Azure Stream Analytics | Azure Synapse | Azure Synapse Analytics | Bronze Silver Gold | CI/CD | Data Factory | Data Governance | Data Lake | Data Lake Storage | Data Lake Storage Gen2 | Data Lineage | Data Modeling | Data Validation | Data masking | Databricks | Dedicated SQL Pools | Delta Lake | Dimensional Modeling | ELT | ETL | Event Hubs | Feature Pipelines | Infrastructure as Code | Lakehouse | MLOps | Machine Learning | Machine Learning Feature Pipelines | Managed Instance | Medallion Bronze Silver Gold | Microsoft Fabric | Microsoft Purview | Power BI | PySpark | Python | Row Level Security | SQL Database | SQL Managed Instance | SQL Pools | Semantic data | Semantic data modeling | Spark | Stored Procedures | Stream Analytics | Synapse Analytics | T-SQL | “as-code”
Education
Roles
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