Senior Data Engineer
Tasks
- Build batch data pipelines with ELT ETL and orchestration
- Build reusable lakehouse warehouse and semantic models
- Define and enforce data governance metadata lineage access control privacy and retention
- Deliver cost management data solution and cost rate database
- Design and deliver Power BI datasets semantic models dashboards and reports with row level security
- Develop master and reference data models
- Establish DevOps platform operations monitoring alerting release management and documentation
- Implement AI assisted data classification and anomaly detection
- Implement data quality controls and exception handling
- Lead reporting platform design and implementation
- Profile cleanse transform and validate source data
- Provide end to end architecture build testing deployment and run state support
- Translate reporting requirements into scalable data products
Perks/Benefits
Skills/Tech-stack
API Integration | Alerting | Anomaly Detection | Auditability | Azure Data | Azure Data Factory | Azure DevOps | Azure SQL | Azure Synapse | Azure Synapse Analytics | DAX | DBT | Data Classification | Data Factory | Data Governance | Data Lineage | Data Management | Data Modeling | Data Quality | Data Testing | Data Warehousing | Data orchestration | Databricks | DevOps | Dimensional Modeling | ELT | ERP systems | ETL | Entity Matching | Git | Infrastructure as Code | Lakehouse | Master Data | Master Data Management | Metadata Management | Microsoft Fabric | Microsoft Purview | Monitoring | Power BI | PySpark | Python | Reconciliation | Release Management | Row Level Security | SQL | Spark | Synapse Analytics | Terraform | “as-code”
Education
N/A
Roles
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