Senior Data Engineer

• Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric
• Build reliable ETL/ELT processes for structured and unstructured data
• Work with business teams to understand data requirements and translate them into technical solutions
• Optimize data processing workflows for performance, scalability, and cost
• Apply AI-assisted development tools and modern engineering practices to improve delivery speed and solution quality
• Troubleshoot production issues and proactively identify improvements
• Collaborate with architects, analysts, and developers throughout the project lifecycle
• Take responsibility for quality, timelines, and outcomes without constant follow-up
• Use AI and automation to solve problems, improve engineering productivity, and deliver better solutions
• Raise risks early, ask questions when something isn't clear, and keep stakeholders informed
• Adjust priorities while maintaining delivery commitments

• 5+ years of hands-on experience as a Data Engineer
• Strong experience with Microsoft Azure Fabric, Databricks and Azure data services
• Solid knowledge of SQL and data modeling concepts
• Experience building enterprise-grade data pipelines and data integration solutions
• Proficiency in Python, Spark, or similar technologies is preferred
• Experience working with cloud-based data platforms in production environments
• Available to engage with global teams and overlap with the U.S. East Coast during critical discussions, up to 1:00 PM ET as needed