Design, build, and maintain enterprise data platform and data pipelines
Develop data warehouses, data lakes, semantic models, and data governance standards
Create scalable ETL/ELT processes across Finance, Tax, Audit, Advisory, and Operations
Deliver BI solutions with dashboards and KPIs using Power BI and Microsoft Fabric
Apply analytics, ML, and AI to solve business problems and enable AI-ready data assets

🎯 Requirements

5+ years in data engineering/analytics/data science or related disciplines
Degree in CS, Data Science, Analytics, or Engineering
Strong SQL and Python skills for data transformation and analytics
Experience with ETL/ELT, data integration, and enterprise data models
Knowledge of statistics, ML, model evaluation, and analytics governance
Familiarity with DevOps, CI/CD, Git, and IaC for analytics platforms

🎁 Benefits

Benefits section information available on the Benefits page

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