Senior Data Engineer
Tasks
- Analyze new technologies and architectures
- Build and maintain service based architecture
- Coordinate third party engineers reviews
- Design and implement data repository and integration architecture
- Develop data structure and integration guidelines
- Expand and optimize data integrations and architecture
- Implement data delivery and infrastructure improvements
- Implement telemetry for performance and quality
- Monitor access controls and compliance
- Refactor and migrate legacy systems
- Troubleshoot data integrations
Perks/Benefits
- 401k match
- Charitable Gift Matching
- Community giving day
- Dental insurance
- Discounted personal insurance
- ESOP contribution
- Health insurance
- Maternity leave
- Paid Holidays
- Paid sick leave
- Paid vacation
- Paternity leave
- Professional development
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
3NF | API Design | API Management | Apache Airflow | Auditing | Azure | Azure Data | Azure Data Factory | Azure Data Factory pipelines | Azure DevOps | Azure Functions | Azure Lakehouse | Azure SQL | Azure Service | Azure Service Bus | Azure Warehouse | CDC | CI/CD | Change Data Capture | DBT | Data Capture | Data Factory | Data Governance | Data Modeling | Data Quality | Data factory pipelines | ELT | ETL | Encryption | Encryption at rest | Encryption in Transit | Event Grid | Fabric Pipelines | JWT | Lakehouse | Least Privilege | MDM | Medallion Architecture | Metadata Management | Microsoft Fabric | Microsoft SQL | Microsoft SQL Server | Natural Keys | Notebooks | OAuth | PII | Python | RBAC | Referential Integrity | Row Level Security | SQL Server | SSIS | Secrets management | Service Bus | Snowflake Schema | Star Schema | Surrogate keys | T-SQL | Temporal tables | Warehouse
Education
N/A
Roles
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