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Key Responsibilities
Data Engineering and Data Handling
- Write SQL queries to extract, join, and validate datasets.
- Perform data cleaning and preprocessing using Python libraries such as Pandas and NumPy.
- Support dataset creation for reporting and analytics purposes.
AI and GenAI Support
- Assist in small AI/ML or Generative AI related tasks.
- Support prompt testing and dataset preparation.
- Work on small proof-of-concept projects such as chatbot flows and document question-answer systems.
Engineering Best Practices
- Follow coding standards and development guidelines.
- Use Git or GitHub for version control and collaboration.
- Write clean, readable, and maintainable code with basic testing.
Team Collaboration
- Work closely with senior engineers and data professionals.
- Participate in agile ceremonies and daily stand-ups.
- Communicate project progress and updates with team leads.
Eligibility Criteria
Educational Qualification:
Bachelor’s degree in B.E., B.Tech, or MCA.
Preferred Streams:
Computer Science, Information Technology, Artificial Intelligence, Data Science, or related technical fields.
Required Skills
Mandatory Skills
- Python: Basic to intermediate knowledge including functions, loops, file handling, and debugging.
- SQL: Strong understanding of joins, group by, filtering, and subqueries.
- Data Handling: Experience with Pandas, NumPy, and relational database concepts.
Preferred Skills
- Exposure to AI/ML or Generative AI projects during academics or internships.
- Familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorch.
- Knowledge of GenAI frameworks like Hugging Face or LangChain.
- Basic awareness of data and cloud tools such as Azure Data Factory, Databricks, Power BI, or AWS.
- Participation in hackathons, Kaggle competitions, or research projects.
Why Join Fujitsu
- Opportunity to work with a global technology company.
- Hands-on exposure to Data Engineering, AI, and Generative AI technologies.
- Work on real industry projects instead of only training tasks.
- Learn from experienced professionals in an agile development environment.
- Build strong practical experience early in your career.
