Data Engineer
Core
Design, develop, and maintain end-to-end data pipelines and ETL processes using the Microsoft data stack to support downstream reporting and analytics.
Role type
Mid-level Data Engineer (Microsoft/Azure stack)
Builds
End-to-end data pipelines, ETL solutions, and data warehouse structures
Domain
Consulting, Data Warehousing, Microsoft/Azure Cloud
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL/T-SQL, Data Warehousing, ETL/SSIS, Relational Data Modeling, Dimensional Modeling, Data Quality/Reconciliation, Stored Procedures, Performance Optimization
Preferred skills
Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Power BI, SSAS, Python, REST APIs, Git/Azure DevOps, Data Governance
Technologies
SQL Server, SSIS, Azure Data Factory, Azure Synapse, Azure Data Lake, Power BI, SSAS
Responsibilities
Design and implement data warehouse structures including dimensional models; Develop and optimize complex SQL queries and stored procedures; Extract, transform, and load data from multiple source systems; Troubleshoot and resolve data pipeline and data quality issues; Collaborate with stakeholders to translate data requirements into effective solutions; Contribute to technical documentation and development standards.
Seniority
Mid-level, hands-on IC
