Join ShyftLabs as a Senior Data Engineer and lead the way in transforming enterprise data platforms for major clients. Use your experience with data pipelines, cloud architecture, and engineering best practices effectively.This leadership role includes owning projects from discovery through to production deployment. You'll collaborate directly with Fortune 500 clients to understand their data needs and develop scalable technical solutions. With a minimum of eight years of experience, you'll mentor engineering teams while establishing high standards in technical delivery.Key Responsibilities:Architect and design enterprise data platforms throughout project lifecycleEnsure high-quality technical delivery across multiple engagementsDefine solution architecture and implementation plansConduct technical reviews and enhance team practicesMentor Data Engineers fostering skill developmentRequirements:Bachelor's or Master's in relevant technical field8+ years in enterprise data solutions5+ years expertise in Apache Spark and DatabricksProficiency in Python, SQL, and big data technologiesExperience in cloud platforms like AWS or AzureBecome a pivotal part of ShyftLabs, shaping the future of data solutions for clients.#J-18808-Ljbffr

📌 Senior Data Engineering Leader Position (Toronto)
🏢 ShyftLabs
📍 Toronto