Junior Data Engineer at Fujitsu
Fujitsu · Pune, Maharashtra, India
- Salary: ₹4–7 LPA
- Experience: 0-2 years
📋 Job Details at a Glance 📍 Location Pune, Maharashtra, India 🏢 Company Fujitsu 👥 Experience 0-2 years 🎓 Qualification Any Graduate 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹4–7 LPA 🏢 Industry Technology 🛠 Key Skills Data Engineering SQL Python ETL Data Pipelines Data Processing Database Management Application Development Data Analysis Problem Solving Junior Data Engineer at Fujitsu — Full Details & How to Apply Fujitsu is seeking a Junior Data Engineer in Pune, Maharashtra, India , where you can kickstart your career in data engineering with a competitive salary of ₹4–7 LPA . This role is an excellent opportunity for fresh graduates to enter the booming field of data engineering, which is critical for enhancing operational efficiency and client solutions. The demand for Junior Data Engineer jobs is surging as companies increasingly rely on data-driven decision-making. At Fujitsu , this role is pivotal for driving the company's growth, as data engineers are essential for developing robust data processing capabilities that support innovative technology solutions. Fujitsu , founded in 1935 , employs over 130,000 individuals globally and is a leader in technology solutions. The company fosters a culture of innovation and collaboration, making it an ideal environment for new talent to thrive. With a commitment to cutting-edge technologies, Fujitsu recruitment focuses on nurturing freshers who can contribute to its mission of delivering exceptional client outcomes. This role is perfect for 2022, 2023, 2024, 2025 graduates who are Any Graduate with 0-2 years experience . The competitive salary of ₹4–7 LPA provides a solid foundation for your career in data engineering, making it an attractive option for recent graduates. As a Junior Data Engineer, you will gain hands-on experience with essential skills such as Data Engineering , SQL , Python , ETL , and Data Pipelines . This exposure will not only enhance your technical capabilities but also open doors to advanced roles in data analysis and application development, positioning you for rapid career advancement in the tech industry. 📊 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. Job Role & Responsibilities The Junior Data Engineer at Fujitsu will play a crucial role in developing and maintaining data pipelines, ensuring efficient data flow for analytics and reporting across various projects. Develop and maintain data pipelines using Python to ensure seamless data flow for analytics and reporting. Utilize SQL for querying databases, enabling efficient data retrieval and manipulation for various applications. Collaborate with the Data Science and Application Development teams to align data engineering efforts with project goals and deliverables. Monitor data processing performance metrics to identify bottlenecks and optimize workflows for improved efficiency. Take ownership of data quality initiatives, ensuring high standards in data integrity and accuracy across all datasets. Document data engineering processes and create reports to communicate findings to stakeholders effectively. Assist in troubleshooting data-related issues, providing support to clients and internal teams to resolve challenges. This role fosters an ownership culture, allowing you to make a direct impact on data quality and analytics capabilities within the organization. Required Skills & Technical Competencies The ideal candidate will possess a strong skill profile in data engineering, with a focus on specific technical competencies essential for this role. Technical Skills Data Engineering — entry — essential for building and maintaining data infrastructure, requiring a foundational understanding of data workflows. SQL — intermediate — critical for database management and data manipulation, with expected proficiency in writing complex queries. Python — intermediate — used daily for scripting and automation tasks, essential for data processing and ETL operations. ETL — entry — familiarity with tools like Apache NiFi or Talend enhances your ability to manage data extraction and transformation. Problem Solving — entry — evaluated through practical assessments during the interview process, focusing on real-world data challenges. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and application of these technologies. Eligibility Criteria This role is designed for recent graduates eager to start their careers in data engineering, particularly those with relevant academic backgrounds. Any graduate is eligible, with a focus on those who have studied computer science, engineering, or related fields. Candidates from the 2022 , 2023 , 2024 , and 2025 batches are encouraged to apply. The role is open to freshers, making it ideal for recent graduates looking to enter the field. No specific CGPA requirements are mentioned, but a strong academic background in relevant subjects is advantageous. Having a portfolio or GitHub showcasing projects related to data engineering can significantly enhance your application. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant skills and experiences. Include links to your portfolio or GitHub to showcase your projects. Pro tip: Tailor your application to highlight specific projects that demonstrate your skills in Python and SQL , as these are critical for this role. Salary for Junior Data Engineer at Fujitsu 💰 Compensation ₹4–7 LPA The advertised compensation for the Junior Data Engineer role at Fujitsu is ₹4–7 LPA . 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 Junior Data Engineer Upskilling with the right resources significantly enhances your chances of selection for the Junior Data Engineer role at Fujitsu . Recommended Courses & Resources SQL — Mastering SQL is essential for data manipulation and querying in this role. Python — Proficiency in Python is crucial for data processing and automation tasks. Data Processing — Understanding data processing techniques is vital for effective data management. KodNest — This course provides practical insights into application development and data pipelines. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume for the specific role — always customize your application. ❌ Neglecting to showcase relevant technical skills — ensure they are prominently featured. ❌ Overlooking the importance of soft skills — communication and teamwork are vital. ❌ Submitting a generic cover letter — personalize it to address your fit for Fujitsu. ❌ Ignoring the application instructions — always follow the guidelines provided. ❌ Not preparing for technical assessments or interviews — practice relevant skills. Before You Apply — Checklist ✅ Research Fujitsu's recent projects and values to tailor your application effectively. ✅ Update your resume to reflect relevant skills and experiences aligned with the job description. ✅ Prepare a cover letter that specifically addresses your interest in the Junior Data Engineer role. ✅ Ensure your GitHub or portfolio is up-to-date with your latest projects and contributions. ✅ Double-check the application portal for any specific requirements or documents needed. ✅ Practice common interview questions related to data engineering and technical skills. ✅ Set reminders for application deadlines to ensure timely submission. ✅ Follow up on your application status after submission to express continued interest. Resume Tailoring & ATS Keywords for Junior Data Engineer Optimizing your resume for ATS is crucial for securing an interview for the Junior Data Engineer position at Fujitsu . ATS Keywords to Include Data Engineering SQL Python ETL Data Pipelines Data Processing Database Management Application Development Data Analysis Problem Solving Freshers Full-Time Resume Tips for This Role Highlight relevant projects or internships that demonstrate your skills in data engineering and programming. Emphasize teamwork and collaboration experiences, particularly in tech-related projects. Include links to your GitHub or portfolio showcasing data-related projects. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that does not demonstrate your capabilities in data engineering. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Do not include unrelated work experience that does not showcase your data engineering skills. How to Apply for Junior Data Engineer at Fujitsu Apply Now — Fujitsu Visit the Fujitsu application portal and create an account to start your application. Upload your resume in PDF format, ensuring it is tailored to the job description. Fill out the application form accurately, providing all requested information. After submission, you can expect an email confirmation regarding your application status. Use the application portal to track your application progress and any updates. Applications reviewed on rolling basis — early submission recommended. Apply Now — Fujitsu NexisGrow.com does not charge any fees for job applications. Fujitsu Fujitsu was founded in 1935 and is headquartered in Tokyo, Japan . With a significant presence in over 100 countries , including a robust operational base in Pune, Maharashtra, India , the company employs over 130,000 people globally. This extensive footprint allows Fujitsu to deliver innovative technology solutions across various markets. Among its core offerings, Fujitsu specializes in cloud services , AI , and data analytics . The company’s flagship products include Fujitsu Cloud Service K5 and Fujitsu AI Technology Zinrai , which cater to diverse industries such as healthcare, finance, and manufacturing. These solutions are designed to enhance operational efficiency and drive digital transformation. Fujitsu has received accolades for its inclusive work culture, boasting a Glassdoor rating of 4.1 . The company actively promotes employee engagement through various programs, including mentorship initiatives and diversity training. This commitment to fostering a supportive environment has earned Fujitsu recognition as a top employer in the technology sector. Recently, Fujitsu announced a strategic partnership with a leading AI firm to enhance its AI capabilities . This initiative reflects the company’s dedication to innovation and growth, positioning it as a key player in the evolving tech landscape. Such developments underscore Fujitsu 's focus on expanding its technological offerings. For freshers in technology, Fujitsu serves as an excellent launchpad for careers. The company provides access to a global network and valuable mentorship opportunities, enabling new employees to develop essential skills in data engineering , SQL , and Python . This supportive environment fosters professional growth and prepares individuals for future challenges in the tech industry. Company Details Industry Technology Location Pune, Maharashtra, India Connect With Us Careers Apply Now Website 🔗 jobs.global.fujitsu.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Junior Data Engineer at Fujitsu? Eligibility Tap to expand + Answer Candidates with Any Graduate and 0-2 years experience are eligible. Eligible batches: 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Data Engineering, SQL, Python, ETL, Data Pipelines. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹4–7 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Fujitsu? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Data Engineering, SQL, Python, ETL, Data Pipelines. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Junior Data Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of Data Engineering, SQL, Python, ETL, Data Pipelines, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Fujitsu research, (5) Clear communication. ? What is the work culture like at Fujitsu? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Pune Browse all Tech jobs More jobs at Fujitsu 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