Capgemini Associate Data Engineer Recruitment 2026 – Data Engineering Jobs in Pune
Job Description
Capgemini is hiring candidates for the position of FBS Associate Data Engineer in the Pune Division, Maharashtra. This is a full-time hybrid opportunity for candidates who want to build or grow their careers in data engineering, ETL development, data warehousing, SQL, Oracle technologies and modern cloud-based data platforms.
The role focuses on supporting enterprise data pipelines, analysing information from multiple source systems and assisting in the development of data marts and data warehouse solutions. Candidates with knowledge of Oracle, Oracle Data Integrator (ODI), PL/SQL, SQL and GitHub may be particularly suitable for this opportunity.
Professionals with additional exposure to Python, Snowflake, DBT, Airflow, AWS, Azure and modern data architecture concepts can further strengthen their profiles for this position.
Job Overview
| Particulars | Details |
|---|---|
| Company Name | Capgemini |
| Job Role | FBS Associate Data Engineer |
| Job Location | Pune Division, Maharashtra, India |
| Salary | Competitive salary as per company standards |
| Qualification | Relevant Graduate / Engineering / Computer Science / IT qualification |
| Experience | Junior / Associate-level data engineering experience preferred |
| Job Type | Full-Time |
| Work Model | Hybrid |
| Department / Domain | Data Engineering / Data Analytics / Data Warehouse |
| Key Technologies | Oracle, ODI, PL/SQL, SQL, GitHub |
| Additional Technologies | Python, Snowflake, DBT, Airflow, AWS, Azure, Fivetran |
Job Description
The Capgemini Associate Data Engineer role is designed for professionals who want to work with enterprise-scale data platforms and support the development, monitoring and maintenance of modern data solutions.
The selected candidate will work as part of a data engineering team and assist senior engineers in analysing information collected from various enterprise systems. The role involves supporting data pipelines, data marts, data warehouses, data models and technical documentation based on business requirements.
Candidates may work with structured data coming from platforms such as Oracle, DB2 and distributed data environments.
The engineer will also assist with ETL and ELT processes, troubleshoot production issues, identify data-quality problems and help maintain efficient and reliable data flows.
This position provides exposure to traditional data warehouse technologies as well as modern data engineering concepts such as cloud migration, Data Vault, Medallion Architecture, dimensional modelling, Snowflake and DBT.
About Capgemini
Capgemini is a global technology and professional services organization that helps businesses transform and manage their operations through technology.
The company provides services across multiple domains including:
- Cloud computing
- Data and artificial intelligence
- Software development
- Digital engineering
- Cybersecurity
- Business transformation
- Enterprise applications
- Connectivity
- Data analytics
- Technology consulting
Capgemini operates across numerous countries and works with organizations from industries such as banking, manufacturing, retail, telecommunications, healthcare and financial services.
For technology professionals, Capgemini offers opportunities to work on large enterprise projects involving modern software platforms, cloud technologies, data engineering and digital transformation.
Eligibility Criteria
Candidates interested in applying for the Capgemini FBS Associate Data Engineer position should carefully review the official job requirements before submitting their application.
Education Qualification
The job listing does not specify one compulsory academic qualification.
However, candidates with degrees in areas such as the following may be relevant for a Data Engineer position:
- BE
- B.Tech
- B.Sc Computer Science
- B.Sc Information Technology
- BCA
- MCA
- M.Sc Computer Science
- M.Sc Information Technology
- Other relevant technical or engineering qualifications
Final eligibility should always be verified from the official Capgemini job application page.
Age Limit
No specific minimum or maximum age limit has been mentioned in the available job information.
Candidates should check Capgemini’s official recruitment guidelines for any applicable eligibility conditions.
Gender
No gender-specific restriction has been mentioned.
Eligible candidates can apply according to the company’s hiring policies.
Experience Required
This is described as a junior or associate-level Data Engineer role.
Candidates should ideally have practical knowledge or experience in areas such as:
- Data engineering
- Data warehousing
- ETL / ELT
- Oracle Data Integrator
- SQL
- Oracle PL/SQL
- Data modelling
- Production support
Intermediate knowledge of ODI, SQL and PL/SQL is particularly relevant for this role.
Candidates with project, internship or professional exposure to data engineering technologies may have an advantage.
Job Responsibilities
The selected Associate Data Engineer may perform responsibilities such as:
- Develop and support ETL and ELT data pipelines.
- Monitor enterprise data integration workflows.
- Work with Oracle Data Integrator for data movement and transformation.
- Analyse data collected from multiple source systems.
- Assist in building enterprise data warehouse solutions.
- Support the development of data marts.
- Create and maintain data models.
- Prepare Source-to-Target Mapping documents or STTMs.
- Assist with technical design documentation.
- Maintain data lineage documentation.
- Work with Oracle, DB2 and distributed data systems.
- Write and troubleshoot SQL queries.
- Develop and maintain Oracle PL/SQL code.
- Perform basic SQL and database performance tuning.
- Support dimensional data modelling.
- Participate in production issue investigation.
- Identify and resolve data-quality problems.
- Assist in resolving data pipeline performance bottlenecks.
- Participate in incident management activities.
- Perform basic root cause analysis.
- Collaborate with business stakeholders.
- Work closely with senior data engineers.
- Understand business requirements and translate them into technical solutions.
- Support reconciliation and data-quality controls.
- Assist with metadata management.
- Follow data-security and access-control requirements.
- Support protection of personally identifiable information or PII.
- Participate in cloud-modernization projects.
- Assist in data-migration activities.
- Use Python for data integration and automation where required.
- Support development using Snowflake or DBT where applicable.
- Use version-control platforms such as GitHub.
- Support orchestration technologies including Airflow and similar platforms.
Required Skills
Capgemini is looking for candidates with a combination of strong data-engineering fundamentals and professional communication skills.
Core Technical Skills
The primary technologies mentioned for this role include:
- Oracle
- Oracle Data Integrator – ODI
- Oracle PL/SQL
- SQL
- GitHub
Data Engineering Skills
Candidates should preferably understand:
- ETL pipelines
- ELT pipelines
- Data integration
- Data warehousing
- Data marts
- Source-to-Target Mapping
- Data lineage
- Data profiling
- Data reconciliation
- Data-quality management
- Metadata management
- Production support
Database Skills
Useful database knowledge includes:
- Oracle Database
- DB2
- SQL query development
- PL/SQL development
- Query troubleshooting
- Basic database performance tuning
Data Modelling Knowledge
Knowledge of the following data-modelling approaches can be beneficial:
- Dimensional modelling
- Kimball methodology
- Third Normal Form or 3NF
- Data Vault
- Medallion Architecture
These concepts are frequently used in modern enterprise analytics and data-warehouse projects.
Programming Skills
Candidates should preferably have:
- Beginner to intermediate Python knowledge
- Ability to automate data-related tasks
- Basic scripting knowledge
- Data integration programming skills
Cloud Skills
Exposure to cloud platforms is considered an advantage.
Useful technologies include:
- Amazon Web Services – AWS
- Microsoft Azure
Candidates with experience in cloud migration or modernisation initiatives may strengthen their profile.
Modern Data Platform Skills
Familiarity with the following technologies can be advantageous:
- Snowflake
- DBT
- Fivetran
- Apache Airflow
- GitHub
Advanced knowledge may not be compulsory, but practical familiarity can improve a candidate’s suitability.
Soft Skills Required
In addition to technical knowledge, candidates should possess:
- Good communication skills
- Strong analytical thinking
- Problem-solving ability
- Technical documentation skills
- Team collaboration
- Attention to detail
- Ability to understand business requirements
- Willingness to learn new technologies
- Stakeholder communication skills
- Ability to work with senior engineers
- Time-management skills
- Ability to troubleshoot technical problems
- Continuous-learning mindset
Salary Details
Capgemini has not publicly disclosed a fixed salary figure in the available job listing.
The company mentions a competitive compensation and benefits package.
Final salary may depend on factors including:
- Candidate experience
- Technical expertise
- Current compensation
- Interview performance
- Job level
- Project allocation
- Company compensation policies
Candidates should confirm the exact salary package during the recruitment and offer process.
Performance-Based Compensation
Eligible employees may also receive performance-linked compensation or bonuses depending on their employment level and company policies.
Employee Benefits
The available job information mentions several benefits that may be offered to eligible Capgemini employees.
These can include:
- Competitive salary
- Performance-based bonuses
- Comprehensive employee benefits
- Career-development opportunities
- Technical training
- Flexible working arrangements
- Hybrid / office-based working options
- Private health insurance
- Pension plan
- Paid time off
- Training and development opportunities
- Professional career-growth support
Benefits can vary depending on employee grade, location, project and company policy.
Work Model
The job has been listed as a Hybrid position.
This means selected employees may work through a combination of:
- Office-based work
- Remote work
The exact number of office and remote working days may depend on the project, client and Capgemini’s internal policies.
Job Location
The primary location listed for this opportunity is:
Pune Division, Maharashtra, India
Candidates should be prepared to work from the designated Capgemini office or client location whenever required.
Data Engineering Technologies You Should Prepare
Candidates preparing for this opportunity should focus on the following areas:
SQL
Prepare:
- SELECT queries
- JOINs
- GROUP BY
- Subqueries
- Common Table Expressions
- Window functions
- Query optimisation
- Index concepts
- Stored procedures
Oracle PL/SQL
Important topics include:
- Procedures
- Functions
- Packages
- Triggers
- Cursors
- Exception handling
- Performance optimisation
ETL / ELT
Candidates should understand:
- Extract, Transform and Load
- Extract, Load and Transform
- Source and target systems
- Data transformation
- Incremental loads
- Full loads
- Error handling
- Pipeline monitoring
Oracle Data Integrator
Useful areas include:
- ODI architecture
- Knowledge Modules
- Mappings
- Packages
- Load plans
- Scenarios
- Agents
- Data integration workflows
Data Warehousing
Prepare concepts including:
- Fact tables
- Dimension tables
- Star schema
- Snowflake schema
- Slowly Changing Dimensions
- Data marts
- Data warehouses
Python
Focus on:
- Python fundamentals
- File handling
- Data manipulation
- Automation
- Database connectivity
- Basic pandas knowledge
Data Architecture Knowledge
The listing also highlights several important data-architecture concepts.
Candidates should understand the basics of:
Kimball Dimensional Modelling
This approach is commonly used to create analytical data warehouses with fact and dimension tables.
Third Normal Form
3NF is a relational database design methodology used to reduce duplication and improve data integrity.
Data Vault
Data Vault modelling is used for scalable and auditable enterprise data warehouses.
Medallion Architecture
Candidates should understand the concepts of:
- Bronze Layer
- Silver Layer
- Gold Layer
This architecture is widely used in modern cloud-based lakehouse and analytics environments.
Data Quality and Security
The role also includes responsibilities related to maintaining trusted and secure enterprise data.
Candidates may support:
- Data-quality checks
- Reconciliation
- Metadata management
- Access control
- Data security
- PII protection
- Compliance requirements
Understanding basic data-governance principles can therefore be useful during the interview.
How to Apply for Capgemini Associate Data Engineer Recruitment 2026
Candidates interested in this opportunity should apply through the official Capgemini career platform or the verified job listing.
Step-by-Step Application Process
- Visit the official Capgemini careers website.
- Search for FBS Associate Data Engineer.
- Select the Pune-based vacancy.
- Read the complete job description carefully.
- Confirm that your skills and experience match the requirements.
- Click on the Apply option.
- Create an account if you are a new applicant.
- Enter your personal information.
- Add your educational qualifications.
- Add your professional experience or internship details.
- Mention relevant technologies such as Oracle, ODI, PL/SQL and SQL.
- Upload an updated resume.
- Review your application carefully.
- Submit the application.
- Save your confirmation or application number for future reference.
Candidates may also encounter the vacancy through professional recruitment platforms such as LinkedIn.
Resume Tips for This Role
Candidates should tailor their resume specifically for data engineering.
Include keywords such as:
- Oracle
- ODI
- SQL
- PL/SQL
- ETL
- ELT
- Data Warehouse
- Data Mart
- Data Modelling
- Python
- Snowflake
- DBT
- GitHub
- Airflow
- AWS
- Azure
- Data Quality
- Data Lineage
Highlight Your Projects
If you are a fresher or junior candidate, include projects related to:
- ETL pipelines
- SQL database development
- Data analysis
- Data warehouse development
- Python automation
- Cloud data engineering
- Snowflake
- Power BI or analytics
- Database migration
Mention measurable outcomes wherever possible.
Required Documents
Candidates should keep the following documents ready during the application and recruitment process:
- Updated Resume / CV
- Aadhaar Card
- PAN Card
- Passport-size photographs
- Class 10th certificate
- Class 12th certificate
- Graduation mark sheets
- Graduation degree certificate
- Postgraduate certificate, if applicable
- Technical certification documents
- Internship certificates
- Previous employer experience letters
- Salary slips, if applicable
- Relieving letter, if applicable
- Address proof
- Government-issued photo ID
Additional documents may be requested during onboarding.
Selection Process
The exact Capgemini selection process has not been specified in the available job listing.
Depending on the candidate and hiring program, the recruitment process may include:
- Resume screening
- Recruiter discussion
- Technical assessment
- SQL or coding test
- Technical interview
- Managerial interview
- HR discussion
- Document verification
- Offer letter
Candidates should prepare particularly well for SQL, Oracle, ETL, ODI, PL/SQL and data warehouse concepts.
Interview Preparation Topics
Candidates preparing for a technical interview should revise:
- SQL joins
- Window functions
- Stored procedures
- Oracle PL/SQL
- ETL vs ELT
- Data warehouse architecture
- Star and snowflake schemas
- Slowly Changing Dimensions
- Data marts
- Kimball modelling
- 3NF
- Data Vault
- Medallion architecture
- ODI architecture
- Data-quality checks
- Production issue troubleshooting
- Query optimisation
- Python fundamentals
- Cloud data concepts
- Snowflake basics
- DBT basics
- Git and GitHub
Why This Role Can Be a Good Career Opportunity
The Capgemini FBS Associate Data Engineer position can be particularly useful for professionals who want to build careers in areas such as:
- Data Engineering
- Cloud Data Engineering
- Data Warehousing
- Data Architecture
- Data Analytics
- Business Intelligence
- Database Development
- ETL Development
- Data Platform Engineering
The role provides exposure to both traditional enterprise technologies such as Oracle and modern platforms such as Snowflake, DBT, cloud services and Python.
Career Growth Opportunities
With additional experience and technical knowledge, an Associate Data Engineer may progress towards roles such as:
- Data Engineer
- Senior Data Engineer
- ETL Developer
- Data Warehouse Developer
- Cloud Data Engineer
- Snowflake Developer
- Data Platform Engineer
- Data Architect
- Analytics Engineer
- Technical Lead
Career progression depends on skills, project exposure, performance and available internal opportunities.
Important Details at a Glance
- Role: FBS Associate Data Engineer
- Company: Capgemini
- Location: Pune Division, Maharashtra
- Employment: Full-Time
- Work Model: Hybrid
- Core Skills: Oracle, ODI, PL/SQL, SQL, GitHub
- Programming: Python preferred
- Modern Data Tools: Snowflake, DBT, Airflow, Fivetran
- Cloud Exposure: AWS / Azure preferred
- Domain: Data Engineering and Data Warehousing
Important Instructions for Applicants
Before applying:
- Check the official job posting.
- Ensure your resume contains relevant technical keywords.
- Mention hands-on projects clearly.
- Do not provide incorrect experience information.
- Prepare thoroughly for SQL and PL/SQL interviews.
- Review data-warehouse concepts.
- Keep your registered email and mobile number active.
- Regularly monitor recruitment communication.
- Do not pay any individual claiming to guarantee a Capgemini job.
Recruitment conditions and vacancy availability may change without notice.
Frequently Asked Questions
What is the role offered by Capgemini?
The position is FBS Associate Data Engineer.
Where is the job located?
The job is based in the Pune Division, Maharashtra, India.
Is this a work-from-home job?
No. The listing describes the work arrangement as Hybrid, which generally combines office and remote work according to project policy.
What are the main skills required?
Core skills include:
- Oracle
- Oracle Data Integrator
- SQL
- PL/SQL
- GitHub
Is Python required?
The role mentions beginner-to-intermediate Python skills for data integration and automation tasks.
Is Snowflake required?
Snowflake familiarity is considered useful, along with DBT and other modern data-engineering technologies.
Is AWS or Azure knowledge required?
Cloud-platform exposure is listed as an advantage, particularly for cloud-modernisation and data-migration projects.
What type of data modelling knowledge is useful?
Candidates should understand concepts such as:
- Kimball dimensional modelling
- 3NF
- Data Vault
- Medallion Architecture
What salary does Capgemini offer?
The exact salary has not been disclosed in the available listing. Capgemini mentions competitive compensation and benefits.
What is the employment type?
This is a Full-Time opportunity.
Disclaimer
This article has been prepared for informational and educational purposes based on publicly available job information. Vacancy status, eligibility, salary, benefits, experience requirements and recruitment conditions may change. Candidates should always verify the latest details through Capgemini’s official careers portal before applying. No employment or selection guarantee is provided.
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