Database Engineer
Conyers, Georgia, United States
USD 100K-150K (estimate) Senior-level Full Time
Tasks
- Automate data processes with ci cd version control and runbooks
- Build power bi semantic datasets
- Collaborate with stakeholders for data requirements and business logic
- Create curated data products
- Design azure data lakehouse platform
- Design data models semantic models dimensional models and star schemas
- Develop ETL/ELT pipelines
- Implement data governance security privacy lineage and metadata management
- Implement delta lake data layers
- Manage azure data storage and lakehouse services
- Monitor troubleshoot and optimize pipeline performance and cost
- Prepare ai ready training datasets
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Databricks | Azure Key Vault | Azure SQL | Azure Synapse | Azure Synapse Analytics | CI/CD | Change Data Capture | Data Capture | Data Factory | Data Governance | Data Lake Storage | Data Lineage | Data Modeling | Data Quality | Data Validation | Delta Lake | Dimensional Modeling | ELT | ETL | Infrastructure as Code | Key Vault | Metadata Management | Microsoft Fabric | OneLake | Power BI | PySpark | Python | RBAC | SQL | Star Schema | Synapse Analytics | “as-code”
Education
Bachelor of Arts | Bachelor of Computer Engineering | Bachelor of Computer Science | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Analytics | Analytics Engineer | Data Engineer | Database Engineer | Engineer
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