Job Title: Hadoop Support Engineer – L1/L2: 3 positions
Working hours: 30 hours per week Rotational shifts during U.S. daytime hours, between 8:00 a.m. and 6:00 p.m. CST (6:30 PM - 4:30 AM IST). On-call support is required outside regular working hours
No. of Positions: 3
Coverage: L2 escalation + platform ownership
Position Summary
We are seeking an experienced Hadoop Support Engineer to join our Big Data Operations team, providing Level 1 (L1) and Level 2 (L2) production support across a large-scale, on-premises Hadoop ecosystem. This role is responsible for the day-to-day health, stability, and performance of a multi-cluster environment spanning approximately 700–800 nodes and ~4 PB of storage, built on Acceldata ODP (Apache Hadoop 3.3.x / 3.2.x). The ideal candidate is a hands-on troubleshooter who can monitor, triage, and resolve incidents across HDFS, YARN, Hive, Spark, Trino, ZooKeeper, Ranger, and Ambari — while collaborating with Unix/infrastructure, security, and application teams to keep production workloads running smoothly.
Key Responsibilities




Production Support & Incident Management (L1/L2)
· Provide first- and second-line production support for a multi-cluster Hadoop workplace (700–800 nodes) running Acceldata ODP Hadoop 3.3.x / 3.2.x.
· Monitor cluster health and proactively identify, triage, and resolve incidents affecting NameNodes, ResourceManagers, DataNodes, NodeManagers, ZooKeeper ensembles, Client/Gateway nodes, and Ambari-managed services.
· Perform root cause analysis (RCA) for recurring incidents and service outages, and drive permanent fixes in partnership with L3/engineering teams.
· Manage and resolve an average monthly volume of L2/L3 incidents, service outages, and routine service requests, meeting defined SLAs.
· Own ticket lifecycle management (logging, triage, escalation, resolution, and closure) using the enterprise ITSM/ticketing platform.
· Participate in an on-call rotation and provide off-hours support for critical productio

📌 Hadoop Support Engineer(7+ years of exp) (India)
🏢 Mejenta Systems
📍 India