Junior Data Engineer

Fujitsu's interview process typically starts with a timed online aptitude test, followed by a technical interview focusing on SQL, ETL concepts and basic programming. The final HR round assesses cultural fit, communication skills and career aspirations. Candidates should be prepared with clear explanations of data‑pipeline basics and demonstrate a learning mindset.

Fujitsu promotes a collaborative and inclusive work culture where employees are encouraged to innovate and take ownership of their projects. The company offers structured career growth, regular skill‑upgradation programs, and a healthy work‑life balance with flexible working arrangements.

B.Tech/B.E/M.Tech/M.E in Computer Science, Information Technology, Electronics, or related streams; minimum 60% aggregate (or CGPA 6.0/10); no active backlogs at the time of joining; batch 2026 (or 2025 for early graduates); strong analytical mindset and willingness to learn data‑engineering tools.

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

Fujitsu Limited, founded in Japan in 1935, has grown into a global technology powerhouse with more than 130,000 employees across 50 countries. The company is renowned for its commitment to innovation, sustainability and digital transformation, helping enterprises modernise their operations while contributing to the United Nations Sustainable Development Goals. In India, Fujitsu operates a robust delivery and services ecosystem, offering a wide portfolio that includes cloud, AI, data analytics, and infrastructure solutions. The firm’s culture blends Japanese precision with Indian entrepreneurial spirit, encouraging continuous learning, collaboration and a strong sense of purpose. As a Junior Data Engineer in the Application Development division, you will be the first line of defence for the health of data pipelines that power critical business insights. Working under the guidance of senior engineers, you will monitor scheduled jobs, validate data loads, and ensure that alerts are addressed promptly. The role is ideal for fresh graduates who have a foundational understanding of SQL and ETL concepts and are eager to gain hands‑on experience in a production environment. **Key Responsibilities** 1. Monitor daily data pipeline runs, job statuses, alerts, and file arrivals across various environments. 2. Perform first‑level checks for failed jobs, missing files, incomplete loads, and data mismatches. 3. Create, update, and track incidents, service requests, tasks, and change requests in ServiceNow. 4. Execute basic SQL queries for data validation, source‑to‑target reconciliation and ad‑hoc reporting. 5. Collect logs, screenshots and error details before escalating complex issues to senior engineers. 6. Assist in maintaining runbooks, SOPs, operational checklists and daily status dashboards. 7. Support routine production‑support tasks such as generating monitoring reports and updating operational metrics. 8. Contribute to documentation, knowledge‑transfer sessions and continuous‑improvement initiatives. 9. Participate in learning sessions on AWS S3, Glue, Snowflake, Databricks and Python scripting. 10. Collaborate with cross‑functional teams to understand data requirements and improve pipeline reliability. **Tech Stack & Tools**: SQL, basic ETL/ELT concepts, ServiceNow, AWS S3, AWS Glue (awareness), Snowflake (awareness), Databricks (awareness), Python (basics), SFTP, CloudWatch or equivalent monitoring tools. **Growth Path**: Starting as a Junior Data Engineer, you can progress to Data Engineer, Senior Data Engineer, and eventually to Data Architecture or Analytics Lead roles, with opportunities to specialise in cloud data platforms, machine‑learning pipelines or data‑governance. **Why Join Fujitsu?** The company offers a stable, inclusive environment with a clear focus on sustainability and innovation. Fresh talent gets exposure to global best practices, mentorship from seasoned professionals, and a structured learning roadmap. Competitive compensation, flexible work‑from‑home options, and a culture that values work‑life balance make Fujitsu an attractive launchpad for a data‑centric career.