Data Engineer
Core
Design, develop, and maintain scalable data pipelines, ETL/ELT processes, and semantic models to support high-performance analytics and reporting.
Role type
Senior Data Engineer
Builds
Scalable data pipelines, ETL/ELT processes, semantic models, and data quality frameworks
Domain
Finance, Accounting, Warehouse, Supply chain management, financial services, Sales and Marketing
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Azure Synapse Analytics, Azure Data Lake, Azure Analysis Services, CI/CD, Git, data governance, data security, data profiling, data cleansing, data validation
Preferred skills
PySpark, Microsoft Fabric, Microsoft Azure Data Engineer Associate certification, Microsoft Fabric Analytics Engineer Associate certification
Technologies
Azure Synapse Analytics, Azure Data Lake, Azure Analysis Services, Git
Responsibilities
Design, develop, test, and maintain scalable and orchestrated data pipelines, ETL/ELT processes and configurations; Build and optimize semantic models in Azure Analysis Services; Implement and manage data security controls across the data warehouse and semantic layer; Implement robust data quality frameworks including profiling, cleansing, validation, and monitoring; Drive automation across workflows and pipelines to improve data reliability, consistency, and reusability; Ensure high-quality documentation for architecture, data flows, and technical design
Seniority
Senior, hands-on IC
