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 environments. 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.
- Strong 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