We are looking for a Big Data Application Support Engineer responsible for monitoring, troubleshooting, and supporting Big Data jobs, pipelines, and applications running on AWS/Snowflake/Hadoop/Spark settings. The role focuses on job support, incident handling, RCA, access management, and coordination with engineering team

Key Responsibilities

Monitoring & Job Support
Monitor Big Data jobs and workflows (Spark,Rundeck).
Handle job failures, restarts, and coordinate with engineering teams for fixes.
Track SLA adherence and escalate issues proactively.

Incident & Service Request Management
Respond to alerts, incidents, and tickets in ServiceNow/Jira.
Perform firstlevel RCA and document findings.
Handle user access requests, role modifications, and workplace onboarding.

Data & Platform Support
Basic troubleshooting of Spark jobs (logs, error messages, Yarn/S3 issues).




Validate data loads and ensure pipeline completeness.

Operations & Documentation
Follow runbooks and SOPs for daily checks and routine activities.
Maintain clear documentation for incidents, resolutions, and repetitive issues.
Support deployment activities under engineering guidance.

Required Skills & Experience:
Strong understanding of Hadoop ecosystem (HDFS, kafka, Spark ,Hbase,AWS EMR concepts).
SQL knowledge for data validation and debugging.
Solid Knowledge in Linux and Spark Troubleshooting.
Familiarity with AWS basics (AWS EMR,S3, IAM concepts).
Understanding of schedulers like Airflow / Oozie / Rundeck.
Strong analytical and communication skills.

📌 Bigdata Support Hyderabad
🏢 Talent Smart Soft Solutions
📍 Hyderabad