Strong initiative to find ways to improve solutions, systems, and processes Must have skills: · Microsoft Fabric (Lakehouse, Warehouse, Data Factory, Notebooks, OneLake) · Azure Data Factory and ETL/ELT design · SQL/T-SQL, Python, PySpark · ML pipeline concepts (feature engineering, training, batch scoring, MLflow) · Azure DevOps CI/CD pipelines · Bicep / Infrastructure as Code · Data Lake / Lakehouse and medallion architecture Nice-to-have skills: · Azure Synapse Analytics and Azure Databricks · Microsoft Purview · Power BI semantic models and Direct Lake · Fabric Real-Time Intelligence (Eventstream, KQL) · GitHub Enterprise and Fabric CI/CD · Experience migrating SAS workloads 1 or more certifications: · Microsoft Certified: Fabric Data Engineer Associate (DP-700) · Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) · Azure Data Scientist Associate (DP-100) · Azure DevOps Engineer Expert (AZ-400) · Azure Data Engineer Associate (DP-203, retired but still recognized). What You Will Be Doing · Tech Breakdown (Coding and Collaboration) · 10% Data Exploration and Design (Source Analysis, Data Modeling, Security, Quality, Performance) · 40% ETL/ELT Pipeline Development (Azure Data Factory, Fabric Data Factory, Dataflow Gen2, Fabric Notebooks, Unit Testing) · 20% ML Pipeline Design and Development (Data Preparation, Feature Engineering, Training and Batch Scoring Pipelines, MLflow) · 20% DevOps and Infrastructure as Code (Azure DevOps CI/CD Pipelines, Bicep Templates, Fabric Workspace Promotion, Release Management) · 10% Data Operations and Governance (Monitoring, Purview Lineage, Access Control, Cost and Performance Optimization) Key Responsibilities: · Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory and Microsoft Fabric Data Factory (pipelines, Copy activity, Dataflow Gen2).