Description

Role Overview:

Provide L3 production support for enterprise data platforms built on Azure Data Lake, Databricks, PySpark pipelines, and TigerGraph, ensuring stability, performance, and SLA adherence.

Key Responsibilities:

• L3 support for ADLS, Databricks, PySpark jobs, and TigerGraph platforms
• Perform deep RCA for data failures, performance issues, and incidents
• Troubleshoot batch/streaming pipelines, Databricks clusters, workflows, and graph queries
• Resolve data latency, quality, and ingestion issues
• Support production releases, hotfixes, and deployments
• Guide L2 teams and maintain runbooks/SOPs
• Participate in on-call and shift-based support

Required Skills:

• Strong experience with ADLS Gen2 and Azure Databricks
• Advanced PySpark debugging and performance tuning
• Hands-on TigerGraph (GSQL, loaders, schema, query performance)
• Strong SQL and data troubleshooting skills
• Experience with monitoring, logging, and ITSM tools
• Linux/Unix and Git knowledge

Key Skills

Education

Any Graduate