Enterprise Data Engineer - Clearance Required
Tasks
- Architect ingestion transformation and storage pipelines
- Design build and operate production data pipelines
- Develop data models for analytics
- Ensure observability lineage and data quality
- Implement data governance, security, and access controls
- Integrate data with dashboards and AI ML capabilities
- Manage CI CD source control and infrastructure as code
- Optimize data platform cost and performance
Perks/Benefits
- N/A
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure DevOps | Azure Purview | Azure SQL | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Factory | Data Governance | Data Lake Storage Gen2 | Data Lineage | Data Modeling | Data Quality | Data Vault | Databricks | Dimensional Modeling | GitHub Actions | Infrastructure as Code | Lakehouse | Microsoft Fabric | Python | SQL | Scala | Snowflake Schema | Star Schema | Synapse Analytics | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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