Data Engineer
Core
Design, develop, and maintain scalable data pipelines and data warehousing solutions on Microsoft Azure to support analytics and reporting for business teams.
Role type
Mid-level Data Engineer (Microsoft Azure stack)
Builds
ETL/ELT pipelines, data warehouses, data lakes, and optimized data layers for Power BI
Domain
Professional Services / Accounting / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL Server, T-SQL, Azure Data Factory, Azure SQL Database, Azure Data Lake Storage, ETL/ELT, Data Warehousing, Dimensional Modeling, Power BI data preparation, Python/PySpark/C#
Preferred skills
CI/CD, Git, Agile delivery, Data quality management, Metadata management, Error handling
Technologies
Azure Data Factory, Azure SQL Database, Azure Data Lake Storage, SQL Server, Power BI, Python, PySpark, C#, Azure DevOps
Responsibilities
Design and maintain data pipelines using Azure services; Build ETL/ELT processes for data ingestion and transformation; Develop and optimize SQL queries and data models; Support data warehouse and data lake implementations; Collaborate with analysts to deliver reusable data assets; Monitor pipelines and troubleshoot failures; Ensure data security and governance compliance; Create technical documentation for data flows and models.
Seniority
Mid-level, hands-on IC
