Senior Big Data Support Engineer

Job Title: Senior Big Data Support Engineer Experience: 8–10 years of relevant industry experience Location: Missisauga,Canada Job Summary We are seeking a highly skilled Senior Big Data Engineer / Technical Lead with strong engineering experience to own, optimize, and scale enterprise data platforms. This role requires deep hands-on expertise, strong problem-solving skills, and the ability to lead a team while ensuring platform performance, capacity readiness, and technical clarity through solid documentation. Key Responsibilities • Act as an support engineer, resolving complex production issues and performing in-depth root cause analysis • Design, build, and maintain big data platforms based on the Hadoop ecosystem • Lead platform capacity planning, including resource forecasting, workload analysis, and growth planning • Continuously optimize platform performance (query tuning, memory/CPU utilization, storage efficiency) • Own Starburst (Trino/Presto) deployments, query optimization, and workload management • Develop and support analytics and dashboards using Tableau • Support data science and analytics workloads through JupyterHub • Establish monitoring, alerting, and performance baselines for proactive issue prevention • Collaborate with cross-functional teams to align platform capabilities with business requirements • Provide technical leadership and mentorship to engineers across the team • Drive best practices for reliability, scalability, security, and operational excellence Documentation & Process Ownership • Create and maintain technical documentation including architecture diagrams, runbooks, SOPs, and troubleshooting guides • Document capacity plans, optimization strategies, and performance benchmarks • Ensure knowledge transfer and platform transparency across engineering and support teams Required Skills & Qualifications • 8–10 years of experience in big data engineering and platform support • Strong hands-on experience with Hadoop ecosystem (HDFS, Hive, Spark, etc.) • Proven expertise in Starburst (or Trino/Presto) • Hands-on experience with Tableau • Experience supporting JupyterHub in production environments • Strong understanding of capacity planning, performance tuning, and resource optimization • Excellent communication and documentation skills