Junior Data Engineer – Pune, India | Fujitsu
Job Overview
Fujitsu is hiring for the position of Junior Data Engineer in Pune, India. The role is designed for an early-career professional who wants to build practical experience in data engineering support, SQL, ETL/ELT processes, pipeline monitoring, data validation, incident management, and production support.
The Junior Data Engineer will work under the supervision of intermediate and senior engineers and will support day-to-day operational activities associated with data engineering pipelines and applications. The position involves monitoring scheduled jobs, performing first-level troubleshooting, validating data, managing tickets, documenting issues, and escalating complex problems when required.
The job posting was published on August 25, 2026, with Req ID 10854. Fujitsu lists Pune as the job location and indicates that the role has multiple location flexibility within the country. Relocation support and visa sponsorship are not available for this position.
Company: Fujitsu
Position: Junior Data Engineer
Location: Pune, India
Employment Type: Not specified in the provided job description
Req ID: 10854
Posting Date: August 25, 2026
Relocation Support: No
Visa Sponsorship: No
About the Junior Data Engineer Role
The Junior Data Engineer role focuses primarily on supporting the operational side of data engineering.
Instead of being responsible for designing complex data platforms independently, the selected candidate will work alongside experienced engineers and assist with monitoring, checking, troubleshooting, validation, documentation, and production support.
A major part of the position involves monitoring data pipelines and identifying issues such as failed jobs, missing files, incomplete data loads, data mismatches, and system alerts. The candidate will perform initial checks and collect relevant information before escalating more complex problems to senior team members.
The role therefore requires a combination of technical fundamentals, attention to detail, problem-solving ability, and disciplined operational practices.
Key Responsibilities
Monitor Data Pipelines
The Junior Data Engineer will monitor scheduled data pipeline runs, job statuses, alerts, file arrivals, and data refresh activities.
Pipeline monitoring is important because data engineering workflows often depend on multiple jobs and processes completing successfully. Monitoring allows teams to identify failures or delays at an early stage.
Perform First-Level Troubleshooting
The position includes performing initial checks when problems occur.
The candidate may investigate:
- Failed jobs
- Missing files
- Incomplete data loads
- Data mismatches
- Alert notifications
- Pipeline-related issues
The role does not require the junior engineer to independently solve every complex problem. Instead, the candidate will gather useful information and escalate complicated issues to senior resources.
Manage ServiceNow Tickets
The job requires creating, updating, and tracking incidents, service requests, tasks, and change requests through ServiceNow.
This makes ticket management an important part of the operational workflow. Candidates need to maintain accurate updates so that technical teams can understand the status and history of an issue.
Perform SQL-Based Data Checks
Basic SQL knowledge is a core requirement.
The candidate will run SQL queries, perform data checks, validate job outputs, and support source-to-target reconciliation. SQL knowledge will therefore be used as a practical troubleshooting and validation tool rather than only as a theoretical skill.
Collect Troubleshooting Information
Before escalating an issue, the Junior Data Engineer will collect information such as:
- Application or system logs
- Screenshots
- Error messages
- Supporting technical details
- Job status information
Providing complete information during escalation can help senior engineers investigate and resolve problems more efficiently.
Documentation
Documentation is another important responsibility.
The candidate will assist with runbooks, SOPs, operational checklists, daily status updates, and knowledge transfer activities.
Good documentation helps teams maintain consistent operational processes and makes it easier for other team members to understand recurring tasks and troubleshooting procedures.
Production Support
The position includes routine production support activities, monitoring reports, and operational reporting under the guidance of experienced engineers.
This can provide practical exposure to how data engineering systems are monitored and supported in production environments.
Eligibility and Core Requirements
The provided job description does not specify a particular educational degree or number of years of experience.
Instead, the role emphasizes foundational technical knowledge in data engineering and production support.
Candidates should have a basic understanding of:
- SQL
- Data engineering concepts
- ETL/ELT processes
- Data validation
- Pipeline monitoring
- Incident management
- Production support
- ServiceNow ticket updates
- Documentation
- First-level troubleshooting
- Operational reporting
Because the position is titled Junior Data Engineer and involves working under intermediate and senior engineers, it is particularly aligned with candidates seeking to develop their professional data engineering support skills.
Core Skills and Why They Matter
SQL
Basic SQL is one of the most important technical requirements. SQL allows the engineer to query databases, verify records, investigate data issues, and perform basic validation.
ETL/ELT Concepts
Understanding ETL and ELT helps candidates understand how data moves from source systems into processing and storage environments.
This knowledge is useful when investigating failed loads, incomplete data, or source-to-target discrepancies.
Data Validation
Data validation involves checking whether data has been processed correctly and whether expected outputs match the available source information.
This is essential for maintaining data quality.
Pipeline Monitoring
Pipeline monitoring helps identify failed jobs, delays, missing files, alerts, and refresh problems.
A junior engineer needs to recognize abnormal pipeline behavior and perform appropriate first-level checks.
Incident Management
Incident management is important in production support because technical issues need to be recorded, tracked, prioritized, updated, and resolved through established processes.
ServiceNow
ServiceNow knowledge is useful for managing incidents, service requests, tasks, and change requests.
The candidate will use ticket updates to communicate progress and maintain operational records.
Production Support
Production support skills help engineers understand how to monitor and maintain systems after they are deployed.
This experience is particularly useful for candidates who want to progress toward data engineering, cloud engineering, or application support roles.
Documentation
Documentation skills are required for maintaining runbooks, SOPs, checklists, and knowledge-transfer material.
Clear documentation can reduce operational confusion and make recurring processes easier to follow.
First-Level Troubleshooting
The ability to perform initial troubleshooting is important because the junior engineer will often be the first person to investigate an alert or failed process.
Operational Reporting
Operational reporting helps teams communicate pipeline health, incidents, daily activities, and other production-related information.
Good-to-Have Skills
The job description also lists several additional skills that can strengthen a candidate’s profile.
File-Based Data Ingestion
Understanding file-based ingestion can help candidates work with data arriving through files and troubleshoot file-related pipeline issues.
SFTP
Basic knowledge of SFTP is useful for understanding secure file transfers and file-based data movement.
AWS S3
Basic awareness of Amazon S3 can help candidates understand cloud-based object storage and data ingestion workflows.
AWS Glue
Awareness of AWS Glue provides exposure to cloud-based data integration and ETL services.
Snowflake
Snowflake awareness can help candidates understand modern cloud data warehousing environments.
Databricks
Basic Databricks awareness provides exposure to a widely used data and analytics platform.
Python
Basic Python knowledge can be valuable for automation, data processing, scripting, and future development responsibilities.
CloudWatch or Similar Monitoring Tools
Awareness of CloudWatch or equivalent monitoring tools can help candidates understand how cloud applications and services are monitored.
Runbook Support
Experience supporting runbooks is useful because the role involves documenting operational procedures and troubleshooting activities.
About Fujitsu
Fujitsu is a Japanese technology company with a long history in technology and innovation.
According to the supplied job description, Fujitsu was founded in Japan in 1935. The company describes its purpose as making the world more sustainable by building trust in society through innovation.
Today, Fujitsu describes itself as a digital transformation partner working with organizations to transform businesses and society through technology.
The company states that it has approximately 130,000 employees across more than 50 countries and provides a broad range of products, services, and technology solutions.
Fujitsu also highlights its work with customers to support enterprise-wide digitalization while addressing social challenges and contributing to the United Nations Sustainable Development Goals.
Work Environment and Career Opportunity
The Junior Data Engineer position can be valuable for candidates who want to understand the operational side of data engineering.
The role provides exposure to several areas that are frequently used in enterprise technology environments, including SQL, ETL/ELT, data validation, pipeline monitoring, production support, incident management, cloud technologies, and documentation.
Working under intermediate and senior engineers can also provide an opportunity to learn established processes and gradually take on more technical responsibilities.
For someone beginning a career in data engineering, understanding how production systems are monitored and supported can be just as important as learning programming and data-processing technologies.
Location and Mobility
The job is based in Pune, India, and the posting states that there is flexibility for multiple locations within the country.
However, the listing specifically states:
- Relocation Support: No
- Visa Sponsorship: No
Candidates should therefore consider these conditions before applying.
Who Should Consider This Opportunity?
This position may be suitable for candidates who are interested in building careers in:
- Data Engineering
- Data Operations
- Production Support
- Data Quality
- ETL/ELT Support
- Cloud Data Engineering
- Application Support
- Data Pipeline Monitoring
Candidates with foundational SQL knowledge and an interest in learning cloud and data engineering technologies can use this role as an opportunity to develop practical experience.
Final Thoughts
The Junior Data Engineer position at Fujitsu in Pune is focused on supporting data engineering pipelines and applications through monitoring, validation, troubleshooting, ticket management, documentation, and production support.
The most important technical foundations for the role are SQL, ETL/ELT concepts, data validation, pipeline monitoring, incident management, ServiceNow, production support, and first-level troubleshooting.
Additional knowledge of SFTP, AWS S3, AWS Glue, Snowflake, Databricks, Python, and CloudWatch can further strengthen a candidate’s profile.
Since the position involves working under experienced engineers, it can be a useful opportunity for professionals looking to build a foundation in enterprise data engineering operations and gradually expand into more advanced data engineering responsibilities.
Candidates should review the official Fujitsu vacancy carefully for the latest application requirements and role information before submitting an application.
Job Details at a Glance
| Category | Details |
|---|---|
| Company | Fujitsu |
| Position | Junior Data Engineer |
| Location | Pune, India |
| Req ID | 10854 |
| Posting Date | August 25, 2026 |
| Experience | Not specified |
| Education | Not specified |
| Core Skills | SQL, ETL/ELT, Data Validation, Pipeline Monitoring |
| Support Skills | Incident Management, ServiceNow, Production Support |
| Programming | Basic Python preferred |
| Cloud Skills | AWS S3, AWS Glue, CloudWatch awareness |
| Data Platforms | Snowflake, Databricks awareness |
| Relocation | No |
| Visa Sponsorship | No |