Support Engineer L3
Fractal Analytics · Bengaluru
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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
- 8×5 operational coverage
Nice-to-Have
- Experience working in ITIL-based support environments.
- Exposure to cost optimization and performance tuning in GCP.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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