Data Engineer
Core
Design and maintain robust data pipelines, transform complex datasets into actionable insights, and build analytical infrastructure for strategic decision-making.
Role type
Data Engineer with embedded analytics and visualization responsibilities
Builds
End-to-end ETL/ELT pipelines, data models, and interactive Power BI dashboards
Domain
IT Operations / Digital Employee Experience Management
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ETL/ELT pipeline development, DAX, Power Query, SQL, Python, data modeling, report development
Preferred skills
Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics
Responsibilities
Design and develop end-to-end ETL/ELT pipelines to integrate data from multiple sources; Ensure data quality, consistency, and reliability through validation, cleansing, and monitoring processes; Build and optimize data models to support reporting and analytics at scale; Develop interactive Power BI dashboards and reports that communicate insights clearly to technical and non-technical stakeholders; Conduct in-depth analysis to uncover trends, patterns, and business opportunities; Define, track, and report on key performance indicators (KPI) across business units.
Seniority
Mid-Senior (4+ years experience)