Senior Data Engineer (Databricks)

Exadel is an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects serving Fortune 500 clients such as HBO, Microsoft, Google, and Starbucks. The client is a health and fitness software and payment processing provider operating in the United States, Puerto Rico, Canada, and Mexico, working with 7,000+ health clubs and offering payment processing and gym management solutions.

• 5+ years of experience in data engineering or analytics engineering roles
• Strong hands-on experience with Databricks (Spark, SQL)
• Advanced SQL skills, including performance tuning and query optimization
• Experience migrating data platforms, ideally Azure Synapse to Databricks
• Experience with Power BI, including dataset modeling
• Strong understanding of Kimball Data Warehousing approach, star schemas, and analytics best practices
• Experience working with cloud data platforms

• Design and implement scalable data pipelines and lakehouse architectures using Databricks (Delta Lake, Spark)
• Execute migration from Azure Synapse to Databricks, ensuring performance and reliability improvements
• Develop and optimize Databricks Data Warehouse for analytics and BI workloads
• Build and maintain semantic models to support enterprise reporting and self-service analytics
• Partner with analytics and business teams to deliver high-quality Power BI datasets and dashboards
• Write, optimize, and tune complex SQL queries for large-scale analytical workloads
• Ensure data quality, reliability, and governance across the analytics platform
• Contribute to architecture decisions, best practices, and standards for data engineering

Exadel is an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. Duties and responsibilities may evolve based on business needs.