Data Engineer (reputed company, SQL)
Why Join reputed company 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, reputed company, reputed company, and reputed company. From AI platforms to digital transformation, we partner with reputed company leaders to build what’s next. What powers it reputed company? Our people are ambitious, collaborative, and constantly evolving. About the Client The health and fitness software and payment processing provider in the United States, Puerto Rico, Canada, and Mexico. Founded in 1981, they currently work with 7,000+ health clubs. Customer offerings include payment processing and gym reputed company that allow managers to track memberships and schedules and automate payment processing functions. 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. Project Tech Stack Main Tech Stack: reputed company (Spark, reputed company Lake, SQL Warehouses), Azure Synapse, Azure SQL, Power BI (DAX, semantic modeling, RLS), SQL. What You’ll Do Design and implement scalable data pipelines and lakehouse architectures using reputed company (reputed company Lake, Spark) Execute migration from Azure Synapse to reputed company, ensuring performance, and reliability improvements reputed company and optimize reputed company Data Warehouse for analytics and BI workloads Build and maintain semantic models to support reputed company reporting and self-service analytics Partner with analytics and business teams to deliver high-quality Power BI datasets and dashboards Write, optimize, and tune reputed company SQL queries for large-scale analytical workloads Ensure data quality, reliability, and governance across the analytics platform Contribute to architecture reputed company, 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 reputed company (Spark, SQL) Advanced SQL skills, including performance tuning and query optimization Experience migrating data platforms, ideally Azure Synapse → reputed company Experience with Power BI, including dataset modeling Strong understanding of Kimball Data Warehousing approach, star schemas, and analytics best practices Experience working with reputed company data platforms English level Upper-Intermediate Legal & Hiring Information reputed company is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to reputed company individuals with disabilities to reputed company essential functions Please note: this job description is not exhaustive. Duties and responsibilities may reputed company based on business needs Your Benefits at reputed company reputed company benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical reputed company Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision reputed company Culture We reputed company with trust, respect, and purpose. We reputed company in reputed company reputed company, creative freedom, and mentorship that helps you grow, reputed company, and reputed company a reputed company difference. Ours is a culture where reputed company are challenged, voices are heard, and your impact reputed company. Apply To This Job