Microsoft Fabric Data Engineer Lead

Candidates must reside in the Phoenix, AZ greater are and are committed to be in the office 4 days a week (Mon-Thurs & Fri being remote). Microsoft Fabric Data Engineer (PySpark & Delta Optimization) Design and develop data pipelines using Microsoft Fabric, Notebooks, PySpark, and Spark SQL . Tune Spark workloads to improve performance, reduce execution time, and minimize capacity consumption. Analyze Spark execution plans, shuffle operations, partitioning, and memory usage. Optimize Fabric capacities and monitor workload performance. Collaborate with data architects, business analysts, and reporting teams to deliver scalable solutions.

Microsoft Fabric Data Engineering PySpark, Spark SQL, Python Data Factory Pipelines & Dataflows Gen2 Git, Azure DevOps Performance Tuning and Capacity Management

VACUUM implementation and retention management Spark monitoring, shuffle optimization, and executor tuning Data skipping and query performance improvements

Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation. Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.