Support Engineer L3

Overview

L3 Data Engineer role providing expert-level production support, break-fix, enhancements and automation for GCP-based data platforms and pipelines, with expert support to L1/L2 teams.

What you'll do

• Provide L3 support by resolving incidents escalated from L2 teams within defined SLAs.
• Handle highly complex and specialized technical issues across data pipelines and platforms.
• Perform detailed root cause analysis (RCA) for recurring and critical issues.
• Participate in on-call rotations to support critical production incidents.
• Support Problem Management, Break-Fix, and Minor Enhancements activities.
• Perform and support change requests and platform enhancements.
• Prioritize incidents, service requests, and enhancements based on business impact and available capacity.
• Ensure stability, performance, and scalability of data pipelines and infrastructure.
• Collaborate with stakeholders to implement minor functional and technical improvements.
• Proactively identify opportunities to automate repetitive operational tasks.
• Drive continuous improvement initiatives to reduce incidents and improve support efficiency.
• Enhance monitoring, alerting, and self-healing mechanisms where applicable.
• Continuously update and maintain SOPs, runbooks, and Knowledge Base articles.
• Mentor and guide L1/L2 support teams, improving overall support maturity.
• Ensure operational best practices and compliance are followed consistently.

What you'll need

• Hands-on experience with Google Cloud Platform (GCP), including Dataproc, BigQuery, Cloud Run, Compute Engine, Cloud Storage and IAM.
• Strong experience with Apache Spark.
• Hands-on experience with Hive.
• Solid understanding of distributed data processing concepts and performance tuning.
• Experience with Apache Airflow (DAG design, troubleshooting, monitoring).
• Working knowledge of Scala.
• Strong proficiency in Python.
• Experience with Shell scripting (Bash).

Nice to have

• Experience supporting large-scale production data platforms.
• Familiarity with CI/CD pipelines for data platforms.
• Experience with monitoring, logging, and alerting tools.
• Knowledge of data governance, security, and access control best practices.
• Strong analytical, problem-solving, and communication skills.
• Experience working in ITIL-based support environments.
• Exposure to cost optimization and performance tuning in GCP.

Details

• Location: Mumbai, India (Hybrid).
• 8×5 operational coverage with on-call support for critical incidents.