Microsoft Fabric/ Power BI Developer (Python & PySpark)

Data Engineer with MS Fabric/ MS Power BI Developer (Python & PySpark) Location: Remote Employment Type: Contract Job Summary We are seeking a highly skilled MS Fabric/ Power BI Developer with strong Python and PySpark experience to build scalable data solutions and deliver impactful business insights. This role requires expertise in data visualization, big data processing, and advanced analytics, with hands-on experience working in notebook environments (Databricks, Jupyter, or Fabric). Key Responsibilities Design and develop interactive dashboards and reports using Microsoft Power BI Hands-on experience in data migration and transition to Microsoft Fabric environments Build and optimize data models using DAX and Power Query Develop and maintain data pipelines using PySpark for large-scale data processing Work extensively in notebook environments (Databricks, Jupyter, Microsoft Fabric) for data transformation and analysis Use Python (Pandas, NumPy, etc.) for data wrangling, automation, and advanced analytics Integrate data from multiple sources including SQL, APIs, and cloud platforms Collaborate with stakeholders to translate business requirements into scalable solutions Ensure data quality, governance, and performance optimization Implement security features such as row-level security (RLS) in Power BI Automate workflows and reporting processes Required Skills & Qualifications 10+ years of experience with Microsoft Power BI Strong expertise in DAX, Power Query (M), and data modeling Strong proficiency in Python for data processing and scripting Hands-on experience with PySpark and distributed data processing Experience working in notebook environments (Databricks, Jupyter, or Fabric notebooks) Strong SQL skills and experience with relational databases Understanding of data warehousing and ETL/ELT concepts Experience working with large datasets and performance tuning Preferred Qualifications Experience with Azure Databricks, Azure Data Factory, Synapse, or Microsoft Fabric Familiarity with Delta Lake, Spark optimization, and big data architectures Knowledge of machine learning workflows using Python/PySpark