Solutions Engineer - Data Engineering
USD 156K-181K Senior-level Full Time
Tasks
- Apply data security and access control
- Build data lakehouse and warehouse solutions
- Configure Azure Data Lake Storage Gen2 environments
- Design data ingestion pipelines
- Develop ETL and ELT processes
- Follow source control and CI/CD practices
- Implement data governance and lineage
- Implement data validation and reconciliation
- Perform code reviews testing and quality assurance
- Produce technical documentation and runbooks
- Set up pipeline monitoring and operational reporting
- Support structured semi structured unstructured data
- Troubleshoot and optimize production data platforms
Perks/Benefits
- Continuous professional growth
- Diversity commitment
- Financial benefits
- Health benefits
- Home office setup provided
- Leadership opportunities
- Remote work
- Wellness benefits
Skills/Tech-stack
800-53 | Access Management | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure SQL | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Cleansing | Data Factory | Data Governance | Data Lake Storage Gen2 | Data Lineage | Data Modeling | Data Reconciliation | Data Validation | Databricks | ELT | ETL | Encryption | HIPAA | Identity and Access Management | Identity and access | Infrastructure as Code | Integration Services | Microsoft Azure | Microsoft Fabric | Microsoft SQL | Microsoft SQL Server | Microsoft SQL Server Integration Services | Monitoring | NIST 800 | NIST 800-53 | PII | SQL Server | SQL Server Integration Services | Server Integration Services | Source Control | Synapse Analytics | “as-code”
Education
N/A
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