Fujitsu Hiring 2026 | Junior Data Engineer | Pune | Entry Level | Apply Now
Application Link
Apply Here:
https://www.jobs.global.fujitsu.com/job/Application-Development/10854-en_US
Fujitsu Hiring – Junior Data Engineer Opportunity
Fujitsu is hiring for the position of Junior Data Engineer in Pune, India. This is a full-time entry-level opportunity for candidates with a basic understanding of SQL, data engineering, ETL/ELT processes, data validation, data pipelines, and production support.
The selected candidate will support data engineering operations by monitoring data pipelines, performing data validation and reconciliation, handling incidents, providing first-level troubleshooting, maintaining documentation, and supporting cloud-based data platforms.
About Fujitsu
Fujitsu is a global technology and IT services company providing digital transformation, cloud, data, computing, and technology services to organizations worldwide.
Job Details
Company Name: Fujitsu
Position: Junior Data Engineer
Job Type: Full-Time
Location: Pune, India
Experience: Entry Level / Junior
Salary: Not Disclosed
Relocation Support: No
Visa Sponsorship: No
Eligibility Criteria
- Basic understanding of SQL and data engineering concepts.
- Knowledge of ETL/ELT processes.
- Ability to monitor data pipelines and identify basic issues.
- Understanding of data validation processes.
- Knowledge of source-to-target data reconciliation.
- Familiarity with incident management and production support.
- Ability to create and update ServiceNow tickets.
- Good documentation and communication skills.
- Ability to perform first-level troubleshooting.
- Ability to escalate complex technical issues when required.
- Willingness to learn data engineering support processes.
- Ability to work effectively with technical and operations teams.
Job Description
Fujitsu is looking for a Junior Data Engineer to support data engineering and production operations. The role is suitable for entry-level candidates who have foundational knowledge of SQL, ETL/ELT, data pipelines, data validation, and cloud data technologies.
The selected candidate will monitor data pipelines, validate data, perform reconciliation activities, support production incidents, create ServiceNow tickets, and perform first-level troubleshooting. The role also provides exposure to technologies such as AWS S3, AWS Glue, Snowflake, Databricks, Python, SFTP, and CloudWatch.
Key Responsibilities
- Monitor data pipelines and identify basic data processing issues.
- Support ETL and ELT data engineering processes.
- Perform data validation activities.
- Perform source-to-target data reconciliation.
- Monitor production data workflows.
- Provide first-level troubleshooting for data-related incidents.
- Support production operations and incident management.
- Create and update ServiceNow tickets.
- Document incidents, resolutions, and operational procedures.
- Maintain technical documentation and runbooks.
- Support operational reporting activities.
- Work with SFTP-based data transfers.
- Support AWS S3 and AWS Glue environments.
- Work with Snowflake and Databricks data platforms.
- Use CloudWatch for monitoring and troubleshooting where required.
- Escalate complex technical issues to appropriate teams.
- Collaborate with data engineering and production support teams.
Key Skills Required
- SQL
- Data Engineering
- ETL
- ELT
- Data Validation
- Data Pipeline Monitoring
- Production Support
- Incident Management
- First-Level Troubleshooting
- ServiceNow
- Data Reconciliation
- Operational Reporting
- Documentation
- Runbooks
- SFTP
- AWS S3
- AWS Glue
- Snowflake
- Databricks
- Python
- CloudWatch
- Communication Skills
- Problem-Solving
Data Engineering Skills
- SQL
- ETL / ELT
- Data Pipelines
- Data Validation
- Source-to-Target Reconciliation
- Data Quality Checks
- Data Processing
- Operational Data Support
- Production Data Monitoring
Cloud & Data Platform Skills
- AWS S3
- AWS Glue
- Amazon CloudWatch
- Snowflake
- Databricks
- Python
- SFTP
- Cloud Data Engineering
Production Support Skills
- Production Support
- Incident Management
- Incident Monitoring
- First-Level Troubleshooting
- ServiceNow Ticket Management
- Issue Identification
- Issue Escalation
- Operational Reporting
- Technical Documentation
- Runbook Maintenance
Preferred Skills
- Basic Python programming knowledge.
- Hands-on SQL practice.
- Understanding of cloud data platforms.
- Knowledge of AWS S3 and AWS Glue.
- Familiarity with Snowflake or Databricks.
- Basic understanding of CloudWatch monitoring.
- Knowledge of production support processes.
- Good analytical and troubleshooting skills.
- Strong communication and documentation skills.
Selection Process
- Online Application
- Resume Screening
- Initial Screening
- Technical Assessment
- Data Engineering / SQL Discussion
- Technical Interview
- HR Discussion
- Final Selection
The selection process may vary depending on Fujitsu's recruitment requirements.
Why Apply?
- Entry-level opportunity in data engineering.
- Gain practical experience with data pipelines.
- Develop SQL and ETL/ELT skills.
- Gain exposure to cloud data technologies.
- Learn production support and incident management.
- Gain experience with AWS S3 and AWS Glue.
- Work with Snowflake and Databricks.
- Develop troubleshooting and data validation skills.
- Gain experience with ServiceNow and operational processes.
- Build a career in data engineering and cloud technologies.
- Work with a global technology services company.
Who Should Apply?
- Freshers interested in Data Engineering.
- Entry-level Data Engineers.
- Junior Data Engineers.
- Computer Science graduates.
- Information Technology graduates.
- Engineering graduates interested in data technologies.
- Candidates with basic SQL knowledge.
- Candidates familiar with ETL/ELT concepts.
- Candidates interested in AWS and cloud data platforms.
- Candidates interested in production support and data operations.
- Candidates willing to learn data engineering support processes.
Important Note
This is a full-time entry-level / junior opportunity based in Pune, India. The provided information states that relocation support and visa sponsorship are not available. Candidates should verify the latest eligibility criteria, job status, employment terms, and application details on the official Fujitsu careers portal before applying.
How to Apply?
Interested and eligible candidates can apply for the Fujitsu Junior Data Engineer position through the official Fujitsu Careers application link provided above.
Candidates should highlight relevant knowledge or projects involving SQL, Python, ETL/ELT, data pipelines, AWS, Snowflake, Databricks, data validation, and troubleshooting in their resume.
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Disclaimer
The recruitment details are based on the provided Fujitsu Junior Data Engineer job information. Candidates should verify the latest eligibility criteria, experience requirements, relocation and visa policies, job status, and application details on the official Fujitsu Careers portal before applying.
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Fujitsu Hiring 2026 | Junior Data Engineer | Pune | Entry Level | Apply Now
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Fujitsu Hiring 2026 for Junior Data Engineer in Pune. Entry-level candidates with SQL, ETL/ELT, data pipelines, AWS, Snowflake, Databricks, Python, and data validation skills can apply.
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