Data Engineering Leader

February 4

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xcelForce

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xcelForce is a strategic talent partner specializing in flexible staffing solutions to help organizations build high-performing teams. They prioritize understanding the unique needs of employers and custom-match skilled professionals to drive business results. With a focus on technology, finance, and government sectors, xcelForce offers services like direct hire, contract-to-hire, and flexible staffing, ensuring that companies can scale their workforce efficiently without long-term commitments.

User Research • Advanced Analytics • Technology Development • Product and Services Strategy • Artificial Intelligence

51 - 200 employees

🤝 B2B

👥 HR Tech

🎯 Recruitment

📋 Description

• This is a remote position. • As an active working leader, you will play a pivotal role in our team, responsible for tactically identifying and optimizing performance issues within a globally distributed big data environment. • Your expertise will drive performance enhancements across a multitude of use cases, involving the analysis of data and metadata. • You will excel at identifying patterns within underperforming queries and common support challenges, contributing to the overall efficiency of our systems. • Collaboration will be key as you engage with both onshore and offshore teams, working together to achieve shared goals. • Guiding and mentoring junior practitioners to cultivate advanced skills will be a cornerstone of your role. • You will be at the forefront of evaluating emerging data frameworks, continuously expanding our team's capabilities. • Developing training modules and refining processes will be second nature to you, fostering enduring improvements in performance. • You will be an agent of change, grounded in data insights, as you create, present, and drive impactful modifications that cover aspects like cost and performance.

🎯 Requirements

• A decade or more of practical experience is essential, specifically within large enterprise environments. • Experience with FAANG companies is a notable advantage. • Possession of a post-secondary education, preferably a master's degree, ideally with a background in Mathematics or a related field. • Demonstrated success in roles as a practitioner, leader, mentor, and trainer is a must. • Your track record should include the construction and maintenance of data pipelines and dashboards. • Proven ability in developing data ingestion processes for real-time analysis from diverse streaming data sources is expected. • Your personal contributions should have led to measured optimizations resulting in tangible cost savings.

🏖️ Benefits

• PTO • Vacation • Holidays • Medical, Dental & Vision Insurance • 401k • and much more!