Data Analytics Engineer

Data Analytics Engineer - Microsoft Fabric - GC Holders or US Citizens Location: Hybrid - 1 day per week in either Chicago, Houston or Dallas Contract: 6-month initial, potential to go full-time after. Key Responsibilities: • Data Integration & Architecture: Design, implement, and enhance data pipelines to ensure the seamless incorporation of data sources into Microsoft Fabric. • Advanced Analytics: Leverage the advanced analytics capabilities of Microsoft Fabric to analyze extensive datasets and derive actionable insights for business functions. • Data Quality & Governance: Uphold rigorous data management standards, including data cleansing, validation, and governance. • Automation & Optimization: Create and automate data workflows to boost performance and efficiency within analytics and reporting processes. • Collaboration: Collaborate closely with data scientists, business analysts, and stakeholders to comprehend business requirements and translate them into technical solutions. • Reporting & Visualization: Develop dashboards, reports, and visual representations to facilitate strategic decision-making and monitor KPIs. • Cloud & On-Prem Integration: Utilize Microsoft Azure and other cloud solutions to establish hybrid data architectures, ensuring smooth data transitions across diverse environments. • Continuous Improvement: Keep abreast of the latest trends in data analytics and engineering, especially regarding Microsoft Fabric, and propose enhancements to systems and processes. Qualifications: Experience: • Over 3 years of experience in data analytics engineering, primarily focused on data pipeline development, integration, and cloud technologies. • Demonstrated expertise in Microsoft Fabric and its related tools (Power BI, Data Lake, Data Factory, etc.). • Familiarity with Azure services (such as Azure Data Factory and Azure Synapse Analytics) is advantageous. Technical Skills: • Proficient in SQL, Python, or other programming languages for data manipulation and analysis. • Knowledgeable in ETL processes, data warehousing, and best practices in data governance. • Experience with cloud-based data storage solutions, including data lakes and data warehouses. • Skilled in Power BI or comparable visualization tools for reporting and analytics. Soft Skills: • Strong analytical and problem-solving abilities. • Excellent communication skills, capable of conveying complex technical concepts to non-technical audiences. • Self-motivated and able to work both independently and as part of a team.