Fujitsu Hiring 2026 | Junior Data Engineer | Pune | Apply Now
Application Link
Apply Here:
https://www.jobs.global.fujitsu.com/talentcommunity/apply/10854/?locale=en_US
Fujitsu Hiring – Junior Data Engineer Opportunity
Fujitsu is hiring for the position of Junior Data Engineer in Pune, Maharashtra. This is a junior-level opportunity involving SQL, ETL/ELT concepts, data validation, data pipeline monitoring, incident management, production support, and first-level troubleshooting.
The role also provides an opportunity to work with data engineering and cloud technologies. Candidates with knowledge of AWS S3, AWS Glue, Snowflake, Databricks, Python, SFTP, and cloud monitoring tools may have an advantage.
About Fujitsu
Fujitsu is a global information and communications technology company that provides digital transformation, cloud, data, artificial intelligence, infrastructure, and technology services to organizations worldwide.
Job Details
Company Name: Fujitsu
Position: Junior Data Engineer
Job Type: Full-Time
Location: Pune, Maharashtra, India
Location Flexibility: Multiple Locations in India
Qualification: Not Specified in the Provided Job Description
Experience: Not Specified / Junior-Level Role
Job Requisition ID: 10854
Relocation: Not Supported
Visa Sponsorship: Not Approved
Salary: Not Disclosed
Eligibility Criteria
- Candidate should have an interest in Data Engineering and data operations.
- Basic knowledge of SQL.
- Understanding of ETL/ELT concepts.
- Knowledge of data validation processes.
- Understanding of data pipeline monitoring.
- Basic understanding of incident management and production support.
- Ability to perform first-level troubleshooting.
- Knowledge of documentation and operational reporting.
- Good analytical and problem-solving skills.
- Ability to work with technical and operational teams.
Job Description
Fujitsu is looking for a Junior Data Engineer to support data engineering operations, data pipelines, production environments, and related technical activities.
The selected candidate will work on data validation, pipeline monitoring, incident management, production support, troubleshooting, and operational documentation. The role may also provide exposure to cloud-based data technologies and platforms.
Key Responsibilities
- Support data engineering and data pipeline operations.
- Work with basic SQL for data-related activities.
- Support ETL and ELT processes.
- Perform data validation and quality checks.
- Monitor data pipelines and identify operational issues.
- Support incident management activities.
- Provide first-level troubleshooting for data and pipeline issues.
- Support production environments and operational activities.
- Use ServiceNow for incident and service management activities.
- Document incidents, solutions, and operational procedures.
- Prepare operational reports when required.
- Support runbooks and standard operating procedures.
- Collaborate with technical teams to resolve production issues.
- Escalate complex issues to appropriate technical teams.
Key Skills Required
- Basic SQL
- Data Engineering
- ETL / ELT
- Data Validation
- Data Pipeline Monitoring
- Incident Management
- Production Support
- ServiceNow
- First-Level Troubleshooting
- Technical Documentation
- Operational Reporting
- Data Operations
- Problem-Solving Skills
- Analytical Skills
Good-to-Have Skills
- File-Based Data Ingestion
- SFTP Basics
- AWS S3
- AWS Glue
- Snowflake
- Databricks
- Python Basics
- CloudWatch
- Cloud Monitoring Tools
- Runbook Support
- Cloud Data Engineering
Preferred / Additional Skills
- Basic understanding of cloud-based data platforms.
- Knowledge of AWS data services.
- Understanding of file-based ingestion processes.
- Basic knowledge of SFTP.
- Exposure to Snowflake or Databricks.
- Basic Python programming knowledge.
- Knowledge of monitoring and alerting tools.
- Ability to follow runbooks and operational procedures.
- Strong attention to detail when validating data.
- Good communication and teamwork skills.
Selection Process
- Online Application
- Resume Screening
- Initial Screening
- Technical / Data Engineering Assessment
- Technical Interview
- HR Discussion
- Final Selection
The actual selection process may vary depending on Fujitsu's recruitment requirements.
Why Apply?
- Opportunity to start a career in Data Engineering.
- Gain practical experience with SQL and data pipelines.
- Develop knowledge of ETL and ELT processes.
- Gain exposure to production data environments.
- Develop data validation and monitoring skills.
- Gain experience in incident and production support.
- Opportunity to work with cloud technologies such as AWS.
- Develop knowledge of Snowflake and Databricks.
- Build Python and data engineering skills.
- Gain experience working with a global technology company.
Who Should Apply?
- Candidates interested in Data Engineering.
- Junior-level Data Engineers.
- Candidates with basic SQL knowledge.
- Candidates interested in ETL and ELT.
- Candidates interested in cloud data technologies.
- Candidates with basic Python knowledge.
- Candidates interested in AWS, Snowflake, or Databricks.
- Candidates interested in data pipeline monitoring and production support.
- Candidates with strong analytical and troubleshooting skills.
- Candidates interested in building a career in data and cloud technologies.
How to Apply?
Interested candidates can apply through the official Fujitsu careers portal using the application link provided above.
Candidates should review the complete official job description and verify the latest qualification, location, experience, eligibility, relocation, visa sponsorship, and application requirements before applying.
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Disclaimer
The recruitment details are based on the provided Fujitsu job information. Candidates should verify the latest eligibility criteria, responsibilities, location details, relocation policy, visa sponsorship information, and application status on the official Fujitsu careers portal before applying.
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Fujitsu Hiring 2026 | Junior Data Engineer | Pune | SQL, ETL, AWS | Apply Now
Meta Description
Fujitsu Hiring 2026 for Junior Data Engineer in Pune. Candidates with SQL, ETL/ELT, data validation, pipeline monitoring, ServiceNow, AWS, Snowflake, or Databricks skills can apply.
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