Agent
Jobs
Applied
Tracker
Profile
    1. Jobs for you
    2. Job

    Job · 21378122

    BENGALURU · FULLTIME

    Support Engineer L3

    Fractal Analytics

    Fractal Analytics

    Bengaluru · onsite · Posted 3d ago

    Sourced fromNaukri
    Undisclosed4–7 yrsfulltimeBengaluru

    Your match

    ?

    Sign in to see your match score, skill gaps & tailored resume.

    Section · 01

    About this role

    Its fun to work in a company where people truly BELIEVE in what they are doing!

    Were committed to bringing passion and customer focus to the business.

    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, youll enjoy your career with us!

    Not the right fit Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!



    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Let the agent run this one for you.

    Tailored resume, auto-apply, and referral lookup — in under 2 minutes.

    Section · 02

    Skills

    AutomationIncident ManagementTroubleshootingMonitoringProcess ImprovementworkflowoperationsanalyticalData ProcessingProcess Management

    Section · Company

    About Fractal Analytics

    Fractal Analytics

    Fractal Analytics

    Analytics & KPO

    5.2k+

    employees

    2000

    26 years old

    Mumbai, Maharashtra

    India

    About

    Fractal Analytics helps global Fortune 100 companies power every human decision in the enterprise by bringing analytics and AI to the decision.

    Industries

    Analytics & KPOInternet

    Employee ratings

    1,046 reviews

    4.0/ 5

    Culture

    4.1

    Career growth

    3.2

    Work-life

    4.0

    Employees rate it well for

    Work Life Balance191Work Culture190Salary133Learning131Senior Management125

    Find them on

    WebsiteLinkedInAmbitionBox reviews

    Job search guides

    • All 26,224 jobs in Bengaluru
    • Auto-apply to jobs like this
    • Tailor your resume for this role
    • Resume keywords for software engineers
    • Naukri auto-apply, explained