Job Title: Lead – Hadoop Support Lead/SME

Working hours:

30 hours per week. Primary business-hours coverage with participation in a 24x7 on-call escalation rotation for critical (P1/P2) incidents

Level 3 Escalation Lead

— Big Data Platform Engineering & Customer Support

Department:

Enterprise Data Platform / Big Data Operations

Employment Type:

Full-Time

Work Model:

On-Premises Data Center Environment

Position Summary:

We are looking for a Lead Hadoop Support Engineer to serve as the Level 3 (L3) technical authority and team lead for our Big Data Operations group. This role sits above L1/L2 production support and owns the hardest technical problems: deep root-cause investigation, cross-cluster performance and capacity issues, security/architecture decisions, and direct engagement with internal customers and application teams on complex requests. You will mentor and guide the L1/L2 support team, act as the final escalation point before vendor/engineering involvement, and be accountable for the stability of a large-scale,



on-premises Hadoop ecosystem spanning approximately 700–800 nodes and ~4 PB of storage, built on Acceldata ODP (Apache Hadoop 3.3.x / 3.2.x). Strong hands-on expertise across HDFS, YARN, Hive, Spark, Trino, ZooKeeper, Ranger, and Ambari is essential, as is the ability to communicate confidently with both engineers and business stakeholders.

Key Responsibilities:

L3 Escalation Ownership & Customer-Facing Technical Support

Serve as the final internal escalation point for incidents and requests that L1/L2 cannot resolve, including complex, cross-component, or previously unseen production issues.

Own and lead root cause analysis (RCA) for major incidents and service outages, producing explicit, business-appropriate RCA reports and permanent corrective actions.

Act as the primary technical point of contact for internal customers and application teams on complex data platform requests — translating business/customer requirements into technica

📌 Hadoop Support Lead/SME(10+ years) (India)
🏢 Tachyon Technologies
📍 India