Data Engineer / Big Data Support Engineer

Job Description:

• 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

Job Summary:

We are seeking a highly skilled Senior Big Data Engineer / Technical Lead with strong L3 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:

• 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
• Ability to balance hands-on engineering and team leadership responsibilities

Leadership Expectations:

• Lead technical initiatives with clear ownership and accountability
• Mentor team members and review technical designs
• Communicate platform health, risks, and improvement plans to stakeholders
• Promote a culture of documentation, optimization, and continuous improvement