Application Development

Fujitsu’s interview process typically starts with an online aptitude test followed by a technical interview focusing on SQL queries, ETL workflow understanding, and basic Python scripting. The final HR round assesses cultural fit, communication skills, and career aspirations. Candidates find the technical round moderate in difficulty but appreciate the clear problem‑solving approach expected by interviewers.

Fujitsu promotes a collaborative and inclusive work culture where learning is encouraged through regular training sessions and mentorship. Employees benefit from a balanced work‑life schedule, clear performance metrics, and opportunities to work on diverse industry projects across the globe.

B.E/B.Tech degree in any engineering branch; minimum 60% aggregate (or CGPA 6.5/10) preferred; candidates from the 2025 or 2026 graduating batch; no active backlogs at the time of joining; willingness to learn data‑engineering support processes.

Round 1: Online aptitude test (logical reasoning, quantitative, basic programming) → Round 2: Technical interview (SQL, ETL concepts, data validation scenarios, basic Python) → Round 3: HR interview (fitment, communication, career goals)

Fujitsu is a global leader in information technology services, consulting, and solutions, with a strong presence in India across banking, manufacturing, telecom, and public sector domains. The company prides itself on a culture of innovation, continuous learning, and a commitment to delivering high‑quality digital transformation services to its clients. With a workforce of over 130,000 professionals worldwide, Fujitsu offers a collaborative environment where engineers can work on cutting‑edge technologies while benefitting from robust training programs and clear career progression paths. The Application Development role in Pune is positioned as a junior data‑engineering support position, ideal for fresh graduates or early‑career professionals who want to dive deep into data pipelines, operational monitoring, and production support. Reporting to intermediate and senior engineers, the candidate will become the first line of defense for data‑flow reliability, gaining hands‑on exposure to SQL, ETL/ELT concepts, and cloud‑based data platforms. This role blends technical troubleshooting with documentation and incident management, providing a solid foundation for a future career in data engineering, DevOps, or cloud architecture. **Key Responsibilities:** 1. Monitor scheduled data pipelines and generate alerts for failures or anomalies. 2. Perform first‑level checks, including log review, file verification, and basic SQL validation. 3. Update and track incidents, service requests, and change tickets in ServiceNow. 4. Collect troubleshooting information and create concise incident reports for senior engineers. 5. Validate data quality by reconciling source‑to‑target loads and flagging mismatches. 6. Maintain operational documentation, runbooks, and SOPs for repeatable processes. 7. Assist in production support activities such as job reruns, data re‑ingestion, and post‑incident reviews. 8. Generate daily/weekly operational reports highlighting pipeline health and recurring issues. 9. Contribute to knowledge‑transfer sessions and suggest automation ideas using basic Python scripts. 10. Stay updated on cloud‑service basics (AWS S3, Glue, Snowflake, Databricks) and monitoring tools like CloudWatch. **Tech Stack:** SQL, ETL/ELT tools, AWS S3, AWS Glue, Snowflake, Databricks, ServiceNow, Python (basic), CloudWatch, SFTP. **Growth Path:** Starting as a Junior Data Engineering Support Engineer, high performers can progress to Data Engineer, Senior Data Engineer, and eventually to Cloud Solutions Architect or Data Platform Lead, with opportunities to lead cross‑functional projects and mentor new hires. **Why Join Fujitsu?** The company offers a best‑in‑industry compensation package, exposure to global clients, and a structured learning ecosystem that includes certifications, internal hackathons, and mentorship programs. Employees enjoy a balanced work‑life environment, flexible policies, and a clear roadmap for technical and managerial advancement.