Data Engineer
Core
Design, develop, and maintain scalable data pipelines and semantic models to support high-performance analytics and reporting for a brand undergoing technology and business changes.
Role type
Data Engineer
Builds
Scalable and orchestrated data pipelines, ETL/ELT processes, and semantic models
Domain
Finance and 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 quality frameworks, performance optimization
Preferred skills
Pyspark, Microsoft Fabric, Finance and Accounting domain knowledge, Warehouse/Supply chain knowledge
Technologies
Azure Synapse Analytics, Azure Data Lake, Azure Analysis Services, Microsoft Fabric
Responsibilities
Design and maintain scalable data pipelines and ETL/ELT processes; Build and optimize semantic models for analytics; Implement data security controls and quality frameworks; Drive automation across workflows; Collaborate with SMEs and BAs to validate requirements
Seniority
Senior, hands-on IC
