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• Strong hands-on experience designing and developing enterprise-scale data engineering solutions
• Hands on experience with Databricks and Apache Spark for large-scale data processing
• Strong experience with Microsoft Azure data platforms and services
• Hands on experience designing and working with Delta Lake architectures
• Hands on experience with Microsoft Fabric and/or modern Microsoft analytics environments
• Strong SQL skills
• Hands on experience designing and supporting ETL/ELT pipelines across multiple enterprise data sources
• Experience working with structured, semi-structured, and distributed datasets
• Understanding of modern data architecture, data modeling, data quality, and data integration patterns
• Experience supporting analytical and reporting solutions, including Power BI
• Ability to evaluate technical alternatives and make recommendations based on business requirements, scalability, maintainability, performance, and cost
• Demonstrated ability to translate business objectives into technical requirements and implementation plans
• Strong interpersonal skills and demonstrated ability to work effectively as part of a collaborative team
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