Job Description

:

As a

Data Engineering Intern

, you will work on enterprise-grade data engineering projects while gaining hands-on experience with modern data ecosystems and AI-driven workflows.

Key Responsibilities:

Design, develop, and maintain

data pipelines (ETL/ELT)

as per projects. Work with

structured, semi-structured, and unstructured data

to support AI, analytics, and ML use cases. Assist senior data engineers, architects on data engineering activities. Optimize data workflows for

accuracy, performance, scalability, and reliability

. Work on end-to-end data pipeline with exposure to SaaS and Open source platforms. Documenting the pipeline process and SOPs.

Required Skills:

Bachelor's or Master's degree in

Computer Science, Information Technology, Data Science, Mathematics, Statistics

, or related fields. Strong proficiency in

Python

and

SQL

. Good understanding of

data structures, algorithms

, and

database management systems

. Solid analytical and problem-solving capability. Strong communication and collaboration skills. Ability to learn quickly and adapt to fast-paced project environments. Detail-oriented mindset with a passion for data engineering and cloud technologies. Enthusiasm to work on enterprise solutions and real business challenges.

Basic familiarity with:

Cloud platforms (Azure, AWS, GCP)*
Big Data frameworks (Spark, Hadoop - preferred)*
ML/AI frameworks*

Job Type: Internship

Work Location: In person