Data Engineering Intern

Cogn'AI'tive

New Delhi, Delhi, IndiaFresher3h agovia LinkedIn

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.

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