Senior/LeadDataEngineer(Databricks,PowerBI)

Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client Our client is a leading health and fitness software provider, supporting over 7,000 clubs across the U.S., Puerto Rico, Canada, and Mexico. Since 1981, they’ve delivered end-to-end gym management and payment solutions—empowering operators to streamline memberships, scheduling, and transactions. Project Team Team composition: 4 Senior Data Engineers, 1 Project Manager, 1 Business Analyst, 1 QA Engineer, and 2 BI Engineers Project Duration 6-month engagement with the possibility of extension What You’ll Do 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 What You Bring 5+ years of experience in data engineering or analytics engineering roles Strong hands-on experience with Databricks (Spark, SQL) Hands-on experience with Power BI, including dashboard development, DAX, semantic modeling, and Row-Level Security (RLS). Proven experience working across both Data Engineering and BI/