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, Maharashtra, India. This is a full-time entry-level opportunity suitable for candidates with basic knowledge of SQL, data engineering, ETL/ELT processes, data validation, data pipeline monitoring, troubleshooting, and production support.

The selected candidate will support data engineering operations, monitor data pipelines, perform data quality checks, troubleshoot first-level issues, manage incidents and tickets, and work under the guidance of intermediate and senior engineers.

About Fujitsu

Fujitsu is a global technology company providing digital services, IT infrastructure, cloud, data, cybersecurity, and technology solutions to organizations around the world.

Job Details

Company Name: Fujitsu

Position: Junior Data Engineer

Job ID: 10854

Job Type: Full Time

Location: Pune, Maharashtra, India

Work Model: Multiple Locations in India / Location Flexibility

Experience: Entry Level / Junior

Posting Date: 25 August 2026

Relocation Support: No

Visa Sponsorship: No

Salary: Not Disclosed

Eligibility Criteria

Basic understanding of SQL.
Basic knowledge of data engineering concepts.
Understanding of ETL/ELT processes.
Knowledge of data validation and data pipeline monitoring.
Understanding of incident management and production support.
Ability to perform basic SQL queries and data checks.
Ability to troubleshoot first-level data pipeline issues.
Ability to update and manage tickets in ServiceNow.
Good documentation and communication skills.
Willingness to learn data engineering support processes.
Ability to work under the guidance of intermediate and senior engineers.

Job Description

Fujitsu is looking for a Junior Data Engineer to support data engineering operations and production environments. The role focuses on monitoring data pipelines, validating data, supporting ETL/ELT processes, handling incidents, and troubleshooting data-related issues.

The selected candidate will work with technologies such as SQL, Python, AWS S3, AWS Glue, Snowflake, Databricks, SFTP, and AWS CloudWatch while supporting data ingestion, monitoring, operational reporting, and production activities.

This position is suitable for candidates looking to build a career in data engineering, cloud data platforms, data operations, and production support.

Key Responsibilities

Support data engineering and production operations.
Monitor data pipelines and identify potential issues.
Perform data validation and reconciliation activities.
Conduct data quality checks.
Execute basic SQL queries for data analysis and validation.
Support ETL/ELT processes.
Monitor file-based data ingestion processes.
Assist with SFTP-based data transfers.
Support AWS S3 and other cloud data services.
Perform first-level troubleshooting of data pipeline issues.
Analyze application and pipeline logs.
Use AWS CloudWatch or equivalent monitoring tools.
Support incident management activities.
Create, update, and manage tickets in ServiceNow.
Assist with production support activities.
Perform data reconciliation when required.
Prepare operational reports.
Maintain technical documentation.
Update runbooks and standard operating procedures.
Work under the guidance of intermediate and senior engineers.
Collaborate with technical teams to resolve data-related issues.

Key Skills Required

SQL
Data Engineering
ETL / ELT
Data Pipeline Monitoring
Data Validation
Data Reconciliation
Production Support
Incident Management
ServiceNow
Ticket Management
Troubleshooting
Data Quality Checks
Pipeline Monitoring
Operational Reporting
Documentation
Runbooks
SOPs
SFTP
AWS S3
AWS Glue
Snowflake
Databricks
Python
AWS CloudWatch
Log Analysis
File-Based Data Ingestion

Data Engineering Skills

Data Engineering Fundamentals
SQL
ETL
ELT
Data Pipelines
Data Validation
Data Reconciliation
Data Quality
Data Ingestion
File-Based Data Processing

Cloud & Data Platform Skills

AWS S3
AWS Glue
AWS CloudWatch
Snowflake
Databricks
Cloud Data Platforms
Cloud Monitoring

Production Support & Operations Skills

Production Support
Incident Management
ServiceNow
Ticket Management
Troubleshooting
Data Pipeline Monitoring
Log Analysis
Data Quality Checks
Operational Reporting
Runbook Support
SOP Management

Preferred / Good-to-Have Skills

File-based data ingestion.
Basic knowledge of SFTP.
AWS S3.
AWS Glue.
Snowflake.
Databricks.
Basic Python.
AWS CloudWatch or equivalent monitoring tools.
Runbook support.
Operational reporting.

Technical Environment

Programming: Python
Database & Querying: SQL
Cloud Storage: AWS S3
Data Integration: AWS Glue
Data Warehousing: Snowflake
Data Engineering Platform: Databricks
File Transfer: SFTP
Monitoring: AWS CloudWatch
IT Service Management: ServiceNow

Production Support Responsibilities

Monitor production data pipelines.
Identify pipeline failures and data issues.
Perform first-level troubleshooting.
Analyze logs to identify potential causes.
Validate data after processing.
Perform data reconciliation.
Raise and update ServiceNow tickets.
Follow incident management procedures.
Maintain operational documentation.
Follow runbooks and SOPs.
Escalate complex technical issues to senior engineers.

Preferred Qualifications

Basic SQL knowledge.
Understanding of data engineering concepts.
Knowledge of ETL/ELT processes.
Understanding of data pipeline operations.
Exposure to cloud data platforms.
Basic Python knowledge.
Familiarity with AWS services.
Knowledge of data validation and reconciliation.
Exposure to production support environments.
Basic understanding of incident and ticket management.
Good documentation and communication skills.
Willingness to learn new data engineering technologies.

Relocation & Visa Information

Relocation Support: No
Visa Sponsorship: No

Selection Process

The official Fujitsu job posting does not disclose the exact number or format of selection and interview rounds. The recruitment process may vary depending on the candidate and Fujitsu's hiring requirements.

Candidates may be required to complete resume screening, technical assessments, technical interviews, HR discussions, or other evaluation rounds as determined by the recruitment team.

Why Apply?

Opportunity to start a career in data engineering.
Suitable for entry-level and junior candidates.
Gain practical experience in data pipeline operations.
Develop SQL and data engineering skills.
Gain exposure to ETL/ELT processes.
Learn data validation and reconciliation practices.
Gain experience with production support.
Develop troubleshooting and incident management skills.
Gain exposure to ServiceNow and enterprise ticket management.
Work with AWS cloud technologies.
Gain exposure to AWS S3 and AWS Glue.
Develop knowledge of Snowflake and Databricks.
Gain experience with monitoring and log analysis.
Develop operational reporting and documentation skills.
Learn industry-standard runbooks and SOPs.
Build experience in enterprise data engineering environments.
Opportunity to learn from intermediate and senior engineers.

Who Should Apply?

Entry-level data engineering candidates.
Junior Data Engineers.
Fresh graduates interested in data engineering.
Candidates with basic SQL knowledge.
Candidates interested in ETL/ELT.
Candidates interested in data pipelines.
Candidates interested in cloud data engineering.
Candidates with basic Python knowledge.
Candidates interested in AWS data technologies.
Candidates interested in Snowflake or Databricks.
Candidates interested in production support.
Candidates interested in data operations.
Candidates with strong troubleshooting abilities.
Candidates with good communication and documentation skills.
Candidates willing to learn enterprise data engineering technologies.

How to Apply?

Interested and eligible candidates can apply through the official Fujitsu Careers portal using the application link provided above.

Candidates should carefully review the official job description, location requirements, eligibility criteria, technical skills, relocation information, visa sponsorship details, and other conditions before submitting their application.

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Disclaimer

The recruitment details are based on the provided Fujitsu job information. Candidates should verify the latest eligibility criteria, experience requirements, job responsibilities, salary details, selection process, application status, location requirements, and other requirements 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 production support skills can apply.

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