Graduate Data Engineer

We’re hiring fresh graduates to join our Data & AI team, which powers core functions across the organization — from analytics and automation to AI/ML systems and engineering pipelines.

As a Graduate Trainee, you will begin by contributing to foundational development work spanning AI/ML, data workflows, automation, and internal tooling — primarily using Python. You will be working across multiple focus areas within the Data & AI team, including:

• AI/ML – supporting model development, data preparation, and deployment workflows
• Analytics & Reporting – enabling insights through dashboards, reporting tools, and data aggregation
• Automation – building scripts and utilities to streamline and optimize operations
• Data Engineering / DevOps / MLOps – contributing to data infrastructure, deployment pipelines, and scalable systems

Must-Have Skills:

1. Strong programming skills in Python with ability to write modular and maintainable code
2. Solid understanding of data structures, algorithms, and computational logic
3. Clear grasp of software engineering fundamentals – version control (Git), testing, debugging, and modular design
4. Ability to reason through problems, optimize code, and implement practical solutions
5. Good communication skills and ability to work collaboratively in a team setting
6. Eagerness to continuously learn and adapt to evolving tools, stacks, and requirements

Nice-to-Have:

• Exposure to data analysis libraries or scientific computing (e.g., pandas, NumPy, matplotlib, Py-Torch, Tensor-flow, SK-Learn)
• Basic understanding of machine learning principles or experience with small academic projects
• Familiarity with cloud platforms (AWS/GCP/Azure), APIs, or containerization (Docker)
• Awareness of analytics tools (e.g., Power BI, Tableau), dashboards, or reporting pipelines
• Experience with automation scripts, data wrangling, or internal tooling
• Basic understanding of DevOps or MLOps workflows and CI/CD pipelines

Eligibility

BE/B.Tech or equivalent –2025 pass-outs

Academic background in CS / IT / ECE / EE / Math or other technical fields

What You’ll Work On

• Development of internal tools and automation pipelines
• Data transformation, processing, and system integration scripts
• APIs and components that support analytics, reporting, or ML workflows
• Exposure to real-world projects across AI, automation, engineering, and reporting

What You’ll Gain

• Practical experience across the full spectrum of modern data and AI workflows
• Growth opportunities into multiple tracks – AI/ML, Analytics, Automation, and Engineering
• Mentorship, code reviews, and exposure to best practices in design and development
• A foundation for long-term roles like Data Engineer, ML Engineer, AI Developer, or Platform Engineer

Selection Process

• Coding Assessment: Candidates will be given a problem sheet to solve, focused on programming in python, data structures, and logic.
• Technical Rounds: Shortlisted candidates will go through technical discussions assessing problem-solving skills, code understanding, and fundamentals.
• HR Round: Final interaction to assess fit and alignment with the team culture and values.