Azure Cloud Engineer--W2 Only--Locals Only

USC, GC and GC-EAD need local DL and copy of VISA Last 4 of SSN LinkedIn profile Location: Buffalo, NY Onsite (specified as Hybrid, but do not have Hybrid Onsite details) Valid Drivers License or State Issued ID Cloud Engineer • 10+ years of total experience & 6+ years of experience in Azure Data Services, Data Architecture, and Cloud Infrastructure. • Hands-on experience with Microsoft Fabric services (OneLake, Data Factory, Synapse Data Engineering, Power BI, Real-time Analytics). • Experience in performance tuning on Microsoft Fabric OR Azure. • Data Governance: Establish data governance frameworks incorporating Microsoft Purview for data quality, lineage, and compliance. • Proficiency in SQL, Python, PySpark, and Power BI for data engineering and analytics. • Experience in DevOps for Data (CI/CD, Azure DevOps, GitHub Actions, ARM Templates). • Strong problem-solving and troubleshooting skills in Azure/Fabric & Data Services. • Data Flows: Design and technical skill data flows within the Microsoft Fabric environment. • Storage Strategies: Implement OneLake storage strategies. • Analytics Configuration: Configure Synapse Analytics workspaces. • Migration: Experience in potential migration from their existing data platforms like Databricks/Spark, or any other source systems to Microsoft Fabric • Integration Patterns: Establish Power BI integration patterns. • Data Integration: Architect data integration patterns between systems using Azure Databricks/Spark and Microsoft Fabric. • Delta Lake Architecture: Design Delta Lake architecture and implement medallion architecture (Bronze/Silver/Gold layers). • Real-Time Data Ingestion: Create real-time data ingestion patterns and establish data quality frameworks. • Security: Implement row-level security, data masking, and audit logging mechanisms. • Pipeline Development: Design and implement scalable data pipelines using Notebooks/Spark for ETL/ELT processes and real-time data integration. • Performance Optimization: Implement performance tuning strategies for large-scale data processing and analytics workloads. • Analytical Skills: Strong analytical and problem-solving skills. • Communication: Excellent communication and teamwork skills. • Certifications: Relevant certifications in Microsoft data platforms are a plus • Qualifications: Masters or Bachelor’s or master’s degree in computer science, Information Technology, or a related field.