Title: Support Engineer L3
Location: Bengaluru
Location: Bengaluru
Employment: Full time
Job Title: L3 Data Engineer
Location: Mumbai, India (Hybrid / On-call rotation)
Role Overview:
We are seeking a highly skilled L3 Data Engineer to support and enhance our data platforms and pipelines. This role is responsible for handling complex production issues, break-fix activities, enhancements, and automation, while providing expert-level support to L1/L2 teams. The ideal candidate will have strong hands-on experience with GCP-based data platforms, distributed data processing, and workflow orchestration, along with a strong operational mindset.
The role requires participation in 8×5 coverage with on-call support for critical incidents.
Key Responsibilities:
Production Support & Incident Management
- 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.
Platform Operations & Enhancements
- 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.
Automation & Continuous Improvement
- 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.
Knowledge & Process Management
- 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.
Required Technical Skills
Cloud & Data Platforms
Google Cloud Platform (GCP) with strong hands-on experience in:
- Dataproc
- BigQuery
- Cloud Run
- Compute Engine
- Cloud Storage
- IAM
Data Engineering & Processing
- Strong experience with Apache Spark
- Hands-on experience with Hive
- Solid understanding of distributed data processing concepts and performance tuning
Workflow Orchestration
- Experience with Apache AirflowS (DAG design, troubleshooting, monitoring)
- Working knowledge of Scala
Programming & Scripting
- Strong proficiency in Python
- Experience with Shell scripting (Bash)
Preferred Qualifications
- 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.
Behavioral & Soft Skills
- Ability to work in high-pressure production environments.
- Strong ownership, accountability, and customer-centric mindset.
- Excellent collaboration skills with cross-functional teams.
- Proactive approach to problem solving and process improvement.
Coverage & Support Model
Nice-to-Have
- Experience working in ITIL-based support environments.
- Exposure to cost optimization and performance tuning in GCP.
