Senior Data Engineer

• 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.

• 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.
• Owns their work. Take responsibility for quality, timelines, and outcomes without constant follow-up.
• Thinks beyond the obvious. Actively use AI and automation to solve problems, improve engineering productivity, and deliver better solutions.
• Communicates proactively. Raise risks early, ask questions when something isn't clear, and keep stakeholders informed.
• Adapts quickly. Requirements evolve, and you're comfortable adjusting priorities while maintaining delivery commitments.
• Works collaboratively. Available to engage with global teams and can overlap with the U.S. East Coast during critical discussions (up to 1:00 PM ET, as needed).

Must-have skills

Databricks, Fabric, Data Engineering