Data Engineering Intern
Cogn'AI'tive
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- OperationsETLMachine learningData structures & algorithmsSQLPython
- Work
- On-site in New Delhi · internship
- Pay
- Not stated by the employer.
- Skill demand
- Operations27%Data structures & algorithms5%of 22 similar fresher jobs posted in India this week
- Listed
- 28 Oct 2026 · still open
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About the Role
Cogn'AI'tive is an AI consultancy focused on delivering practical, production-grade solutions. The company builds software-as-a-service products and service-as-a-service systems across domains such as video intelligence, 3D product try-on, manufacturing analytics, and logistics platforms. Its teams engineer solutions end-to-end.
The Data Engineering Intern will support the design, development, and maintenance of data pipelines and infrastructure used across Cogn'AI'tive’s AI products and platforms. This is a full-time / part-time, on-site role based in New Delhi.
Key Responsibilities
- Collect, clean, and organize data from multiple sources.
- Assist with data modeling activities.
- Help prepare datasets for analytics and machine learning workloads.
- Work closely with data engineers and data scientists to diagnose data issues.
- Improve data quality.
- Document data structures and processes.
Requirements & Tech Stack
- Basic knowledge of SQL or other query languages.
- Familiarity with at least one programming language commonly used in data work (such as Python or R).
- Exposure to databases, data warehouses, or data pipeline tools is beneficial.
Qualifications
- Strong Data Analysis and Data Analytics skills for interpreting datasets and generating insights.
- Solid Data Management skills for organizing, cleaning, and maintaining structured and unstructured data.
- Foundational Data Modeling skills for designing schemas and supporting analytical and AI workloads.
- Strong Analytical Skills for problem solving, troubleshooting data issues, and making data-driven decisions.
- Ability to document work clearly.
- Ability to collaborate in cross-functional teams.
- Ability to learn quickly in a fast-paced environment.
- Enrollment in or completion of a degree in Computer Science, Data Science, Engineering, Mathematics, or a related field is preferred.