🏢 jobs.global.fujitsu.com
Junior Data Engineer
💼 Fulltime
🎓 2026 Batch
📍 Pune
🔗 Explore More
🛠 Skills Required
SQL
Data Engineering concepts
ETL/ELT
Monitoring
Incident Management
ServiceNow
Basic Python
Linux fundamentals
Analytical thinking
Communication
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🎤 Interview Experience
The Fujitsu interview process typically starts with an online aptitude test followed by a technical interview focusing on SQL, data pipelines, and basic programming. The final HR round assesses cultural fit and communication skills. Interviews are moderately challenging, and thorough preparation on data concepts and problem‑solving greatly helps.
🏢 Work Culture
Fujitsu promotes a collaborative and inclusive work culture where learning is encouraged through regular training sessions and mentorship. Employees enjoy a balanced work‑life environment with flexible timings and opportunities for internal mobility across domains.
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📚 Free Study Materials (4)
Aptitude Practice Questions
Helps you sharpen quantitative and logical reasoning skills essential for the initial screening round at Fujitsu.
Open Resource ↗
Company Interview Preparation Guide
Provides insights into typical interview patterns and frequently asked questions for data‑related roles at Fujitsu.
Open Resource ↗
Comprehensive Interview Prep Resources
Offers curated study material covering data engineering fundamentals, SQL, and problem‑solving techniques useful for Fujitsu interviews.
Open Resource ↗
Algorithm and Data Structure Problem Set
Enables practice of coding problems that improve your technical interview performance for the technical round at Fujitsu.
Open Resource ↗
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✅ Eligibility Criteria
Graduates with B.Tech/B.E. or B.Sc. in Computer Science, Information Technology, Electronics & Communication, or related streams. Minimum aggregate of 60% (or CGPA 6.0/10). No active backlogs at the time of joining. Batch year 2025‑2026. Freshers only; internships or prior work experience not required.
🏆 Selection Process
Round 1: Online aptitude test → Round 2: Technical interview (SQL, data concepts, problem‑solving) → Round 3: HR interview (fit, motivation, salary expectations)
🎯
Don't miss this opportunity!
Apply before 05 Sep 2026 — only 11 days left
✅ Apply on Official Website →Creator Pick · Promoted by Creator
📋 About the Role
Fujitsu is a leading global information technology services and consulting company with a strong footprint in India. With over 30 years of presence, Fujitsu India delivers end‑to‑end digital transformation solutions across banking, manufacturing, retail, and public sector domains. The company is known for its collaborative culture, emphasis on continuous learning, and a commitment to sustainability and innovation. Employees benefit from exposure to cutting‑edge technologies, mentorship from seasoned professionals, and opportunities to work on large‑scale, high‑impact projects for Fortune‑500 clients.
The Junior Data Engineer role is designed for fresh graduates who are eager to start a career in data engineering. Reporting to senior and intermediate engineers, the incumbent will assist in monitoring, troubleshooting, and maintaining data pipelines that feed critical business intelligence and analytics platforms. This position offers a hands‑on environment where you will learn the end‑to‑end lifecycle of data ingestion, transformation, and delivery while gaining practical experience with industry‑standard tools and processes.
Key responsibilities include:
1. Monitor scheduled data pipeline runs, job status, alerts, file arrivals, and data refresh activities.
2. Perform first‑level checks for failed jobs, missing files, incomplete loads, data mismatches, and alert notifications.
3. Create, update, and track incidents, service requests, tasks, and change requests in ServiceNow.
4. Run basic SQL queries, perform data checks, validate job outputs, and support source‑to‑target reconciliation.
5. Collect logs, screenshots, error messages, and supporting details before escalating complex issues to senior resources.
6. Assist with documentation, runbooks, SOPs, operational checklists, daily status updates, and knowledge‑transfer activities.
7. Support routine production‑support tasks, monitoring reports, and operational reporting under guidance.
8. Participate in on‑call rotations and contribute to continuous improvement of monitoring dashboards.
9. Collaborate with data engineers, analysts, and business stakeholders to understand data quality expectations.
10. Stay updated with emerging data‑engineering best practices and suggest automation opportunities.
Tech stack: SQL (MySQL/PostgreSQL), basic Python scripting, Linux command line, ServiceNow for ticketing, monitoring tools (e.g., Grafana, Splunk), and exposure to ETL/ELT concepts using tools like Informatica or Azure Data Factory.
Growth path: Starting as a Junior Data Engineer, you can progress to Data Engineer, Senior Data Engineer, and eventually Lead Data Engineer or Data Platform Manager, with regular performance reviews and skill‑based promotions. Fujitsu also offers internal certification programs, mentorship, and cross‑functional project opportunities to accelerate career growth.
Why join Fujitsu? The company’s global reputation, robust training ecosystem, and focus on employee well‑being make it an ideal launchpad for fresh talent. You will work alongside industry experts, gain exposure to diverse domains, and contribute to projects that have real business impact, all while enjoying a supportive work environment that values innovation and work‑life balance.
🎯
Don't miss this opportunity!
Apply before 05 Sep 2026 — only 11 days left
✅ Apply on Official Website →Creator Pick · Promoted by Creator
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📋 Quick Info
JOB ID
C559-J137
POSTED
17h ago
TYPE
Fulltime
BATCH
2026
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