Senior Big Data Support Engineer

Associate / Junior

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An official services partner of OpenAI, Altimetrik’s ALTI AI Adoption Lab™ and DomainForge.ai help enterprises build and deploy enterprise-grade AI solutions. With more than 6,000 practitioners worldwide and deep engineering DNA, we enable organizations across BFSI, manufacturing, retail and CPG, automotive, health care, and life sciences to modernize technology, launch new business models, and scale AI adoption.</span></p><p><br></p><p><span style=\"color: rgba(0, 0, 0, 0.6);\">Recognized in the 2025 Constellation Research ShortList™ for Global AI Services and named a Major Contender in Everest Group’s PEAK Matrix® for BFSI IT Services Specialists and Life Sciences Digital Engineering Services, Altimetrik ensures efficiency, visibility, and frictionless processes, empowering businesses to thrive in the AI era.</span></p><p><br></p><p><span style=\"color: rgba(0, 0, 0, 0.6);\">Learn more at altimetrik.com.</span></p><h2><br></h2><h2>About the job</h2><p><br></p><p>Job Title: Senior Big Data Support Engineer</p><p>Experience: 8–10 years of relevant industry experience</p><p>Location: Missisauga,Canada</p><p><br></p><p>Job Summary</p><p>We are seeking a highly skilled Senior Big Data Engineer / Technical Lead with strong</p><p>engineering experience to own, optimize, and scale enterprise data platforms. This role requires</p><p>deep hands-on expertise, strong problem-solving skills, and the ability to lead a team while</p><p>ensuring platform performance, capacity readiness, and technical clarity through solid</p><p>documentation.</p><p>Key Responsibilities</p><p>• Act as an support engineer, resolving complex production issues and performing in-depth root</p><p>cause analysis</p><p>• Design, build, and maintain big data platforms based on the Hadoop ecosystem</p><p>• Lead platform capacity planning, including resource forecasting, workload analysis, and growth</p><p>planning</p><p>• Continuously optimize platform performance (query tuning, memory/CPU utilization, storage</p><p>efficiency)</p><p>• Own Starburst (Trino/Presto) deployments, query optimization, and workload management</p><p>• Develop and support analytics and dashboards using Tableau</p><p>• Support data science and analytics workloads through JupyterHub</p><p>• Establish monitoring, alerting, and performance baselines 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