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Data Engineer (Databricks, SQL)

icon building Empresa : Exadel
icon briefcase Tipo de Emprego : Periodo Integral

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Descrição do Emprego - Data Engineer (Databricks, SQL)

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


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 management solutions 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: Databricks (Spark, Delta 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 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)

  • Advanced SQL skills, including performance tuning and query optimization

  • Experience migrating data platforms, ideally Azure Synapse → 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


English level


Upper-Intermediate


Legal & Hiring Information



  • Exadel 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 enable individuals with disabilities to perform essential functions

  • Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs


Your Benefits at Exadel


Exadel 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 healthcare

  • Recognition program

  • Ongoing learning & reimbursement 

  • Well-being program

  • Team events & local benefits 

  • Sports compensation 

  • Referral bonuses 

  • Top-tier equipment provision


Exadel Culture


We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Original job Data Engineer (Databricks, SQL) posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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