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.
