📋 Job Details at a Glance 📍 Location Bengaluru, India 🏢 Company Fractal Analytics 👥 Experience 0-2 years 🎓 Qualification Hands-on with Python, Scala, GCP, CI/CD, Spark. Relevant technical qualification and demonstrated shipping experience 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python Scala GCP CI/CD Spark Support Engineer L3 at Fractal Analytics — Full Details & How to Apply Fractal Analytics is seeking a Support Engineer L3 in Bengaluru, India with hands-on experience in Python, Scala, GCP, CI/CD, and Spark . This role offers direct access to production-level data platform operations and incident management in a hybrid work environment. The Support Engineer L3 role ensures data pipeline integrity by resolving complex technical issues and conducting root cause analysis. The position involves managing critical incidents, maintaining platform stability, and supporting real-time operations using tools like Python , Scala , GCP , CI/CD , and Spark . These technologies are used in live environments to deliver reliable data processing and deployment workflows. Fractal Analytics specializes in technology solutions and is currently recruiting for this Support Engineer L3 position. The role is part of a team focused on data platform operations, where candidates will engage in problem management and platform enhancements. No additional company details are provided in the official job posting. 2023, 2024, 2025, 2026 graduates should apply if they have hands-on with Python, Scala, GCP, CI/CD, Spark , possess a relevant technical qualification, and have 0-2 years of experience . The salary for this role is Not Disclosed . Candidates will gain practical experience working with Python , Scala , GCP , CI/CD , and Spark . This role provides exposure to real-world data platform operations and supports progression into higher-level engineering or operations roles within technology environments. It is a foundational step for those aiming to specialize in data engineering or cloud-based infrastructure. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Search for Support Engineer L3 jobs , explore Fractal Analytics recruitment , and find Bengaluru, India jobs with hands-on technical exposure. Job Role & Responsibilities The Support Engineer L3 at Fractal Analytics ensures operational continuity by resolving complex incidents in data pipelines using Spark and GCP , maintaining SLA compliance through structured root cause analysis and on-call support. Resolve production incidents escalated from L2 teams using Python scripts to automate diagnostics and extract error logs from GCP services. Diagnose failures in Spark jobs by analyzing job execution metrics, memory usage, and task failures in Google Cloud environments. Conduct root cause analysis (RCA) on recurring incidents using Python for log parsing and CI/CD pipeline logs to identify failure patterns. Participate in on-call rotations to respond to critical incidents, collaborating with operations teams to restore GCP services within SLA timeframes. Support Problem Management activities by documenting incident trends and contributing to CI/CD pipeline improvements to reduce deployment failures. Perform troubleshooting of data processing workflows using Scala code in Spark applications and validate data integrity via Spark job outputs. Collaborate with engineering teams to implement minor enhancements in CI/CD pipelines, improving deployment stability and reducing rollback frequency. Document support procedures, RCA findings, and incident resolutions in internal knowledge bases to support future Spark and GCP operations. This role demands direct ownership of incident resolution, where every root cause analysis and production fix impacts system reliability and service uptime metrics across data pipelines . Required Skills & Technical Competencies Candidates must demonstrate proficiency in Python , Scala , GCP , CI/CD , and Spark to perform core technical tasks in data pipeline support. Technical Skills Python — entry — used for scripting automated diagnostics, parsing logs, and integrating with GCP APIs in production environments. Scala — entry — applied in building and debugging Spark data processing jobs, particularly for ETL workflows in GCP . GCP — entry — required for managing cloud storage, compute instances, and monitoring services in data pipeline operations. CI/CD — entry — used to automate deployment of data applications, ensuring consistent and repeatable pipeline execution. Spark — entry — essential for troubleshooting and analyzing large-scale data jobs, including job failure patterns and data skew in GCP environments. When preparing a resume, emphasize hands-on Python scripts, Spark job debugging, and GCP service usage in real projects or internships. Eligibility Criteria This role is designed for freshers with a technical qualification and demonstrated experience in Python , Scala , or Spark projects. Must hold a relevant technical qualification such as a B.Tech in Computer Science or related field. Eligible for 2023, 2024, 2025, and 2026 batches only. Experience requirement is 0–2 years , explicitly including entry-level candidates. No CGPA threshold is specified in the job posting. Must have a portfolio showcasing Python , Scala , or Spark projects with deployment or automation components. Must have participated in GitHub repositories or internships involving CI/CD or GCP environments. Documentation & Portfolio Requirements Your resume must include a project portfolio with clear descriptions of Python scripts, Spark job configurations, and GCP deployment workflows. For this role, prioritize showing real-world use of Spark and Python in data processing, with evidence of GCP integration and CI/CD pipeline execution in your portfolio. Salary for Support Engineer L3 at Fractal Analytics 💰 Compensation Not Disclosed The advertised compensation for the Support Engineer L3 role at Fractal Analytics is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Support Engineer L3 Upskilling with the right resources significantly enhances your chances of selection for this specific role by aligning your skills with job requirements. Recommended Courses & Resources Python — Essential for hands-on experience in programming tasks required for this role. Scala — Important for working with data processing frameworks relevant to the job. CI/CD — Crucial for understanding deployment processes in a hybrid work environment. KodNest — Provides practical experience with data engineering concepts applicable to the role. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience with Python — Include specific projects or coursework. ❌ Using a generic resume — Tailor it to the specific responsibilities and skills listed in the job description. ❌ Listing technologies like Scala or GCP without context — Provide details on how they were applied in previous roles or projects. ❌ Ignoring qualification and experience requirements — This could lead to disqualification. ❌ Adding unrelated technologies or unsupported claims — This can backfire if not substantiated. ❌ Failing to verify the official Apply URL — This could lead to application errors. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that the candidate meets the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to the resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Support Engineer L3 Optimizing your resume for ATS is crucial for ensuring your application is seen by hiring managers for this role. ATS Keywords to Include Support Engineer Python Scala GCP CI/CD Spark Incident Management Root Cause Analysis Data Pipelines Production Support Technical Communication Problem Management Resume Tips for This Role Highlight hands-on experience with Python , as it is a key requirement for the role. Emphasize familiarity with tools like GCP and Spark , as they are critical for the responsibilities outlined. Showcase a project that involved data engineering or incident management using the specified technologies. Use exact keywords from the job description to align with ATS requirements, ensuring they fit naturally within your experience. Avoid including unsupported technologies or claims that cannot be substantiated with evidence. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including unrelated technologies or unsupported claims in your resume for this role. How to Apply for Support Engineer L3 at Fractal Analytics Apply Now — Fractal Analytics Open the supplied official Apply URL and confirm the job title and company. Prepare a resume aligned with the supplied skills, responsibilities, qualification, and experience requirement. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if the portal provides one. Record the application date and monitor the official company portal or registered email for updates. Applications reviewed on rolling basis — early submission recommended. Apply Now — Fractal Analytics NexisGrow.com does not charge any fees for job applications. Fractal Analytics Fractal Analytics is a technology company based in Bengaluru, India. It operates with a hybrid work mode and offers a Support Engineer L3 role focused on data platform operations. The position supports engineering teams in maintaining robust data pipelines and systems. The team handles production support, incident management, and root cause analysis for complex technical issues. Responsibilities include resolving escalated incidents, analyzing recurring problems, and participating in on-call rotations across data pipelines and platforms using core tools like Python , Scala , GCP , CI/CD , and Spark . This role supports critical operations within data engineering workflows and provides direct involvement in platform stability and incident resolution. It enables early-career exposure to real-world production environments and hands-on experience with key technologies. This role offers early-career exposure through hands-on experience with critical technologies and responsibilities in a hybrid work environment. Company Details Industry Technology Location Bengaluru, India Connect With Us Careers Apply Now Website 🔗 fractal.wd1.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical qualification from the 2023 to 2026 batches and 0-2 years of experience can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer Key skills include Python, Scala, GCP, CI/CD, and Spark, as they are essential for the responsibilities outlined. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed, which is the only salary information available. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer 1. Review Python and Scala fundamentals. 2. Understand GCP services relevant to data engineering. 3. Familiarize yourself with CI/CD practices. 4. Prepare examples of incident management experiences. 5. Practice technical communication skills. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is hybrid, allowing for a mix of onsite and remote work. ? What career exposure can this role provide? Growth Tap to expand + Answer This role provides exposure to critical technologies and responsibilities in production support and incident management. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in Python, Scala, GCP, and CI/CD, along with relevant project experience in data engineering. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with engineers and operations teams in a hybrid work setting. ? Can freshers apply for this role? Fresher Tap to expand + Answer Yes, freshers can apply as the experience requirement is 0-2 years. 🔗 Explore More on NexisGrow More jobs in Bengaluru Browse all Tech jobs Latest Fresher jobs More jobs at Fractal Analytics Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com