Data Engineer | Azure | Product Developer
Tasks
- Contribute to technical documentation standards and best practices
- Deliver scalable reliable data solutions with Azure
- Design and maintain data models for reporting controls and auditability
- Design data pipelines for payroll processing
- Develop and optimize data ingestion transformation and validation
- Implement data quality checks reconciliation rules and audit logging
- Improve platform performance reliability monitoring and maintainability
- Integrate data from APIs flat files and client systems
- Manage and enhance Data Lake and Delta Lake environments
- Participate in architecture discussions and code reviews
- Support testing, deployment, and release activities
- Troubleshoot pipeline issues performance bottlenecks and data inconsistencies
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Databricks | Azure SQL | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Factory | Data Lake Storage | Data Modeling | Data Pipeline Monitoring | Data Quality | Data Transformation | Data pipeline | Delta Lake | Git | Infrastructure as Code | Pipeline monitoring | Power BI | Python | REST APIs | SQL | Synapse Analytics | Test automation | “as-code”
Education
N/A
Roles
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