We are looking for an experienced L3 Developer to provide production support for enterprise data platforms built on Azure Data Lake (ADLS), Azure Databricks, PySpark, and TigerGraph. The role will focus on ensuring platform stability, performance, and SLA adherence.
Required Skills/Experience
- 7–10+ years of experience in data platform support or a related field.
- Strong experience with ADLS Gen2 and Azure Databricks.
- Advanced skills in PySpark debugging and performance tuning.
- Hands-on experience with TigerGraph (GSQL, schema design, loaders, query performance).
- Proficient in SQL and data troubleshooting.
- Familiarity with monitoring, logging, and ITSM tools.
- Knowledge of Linux/Unix systems and Git.
Roles & Responsibilities
- Provide L3 support for ADLS, Databricks, PySpark jobs, and TigerGraph platforms.
- Perform deep Root Cause Analysis (RCA) for data failures, performance issues, and incidents.
- Troubleshoot and resolve issues with batch/streaming pipelines, Databricks clusters, workflows, and graph queries.
- Address 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 rotations.