Data Engineering Intern
Hands-on internship focused on production-grade data engineering pipelines and AI-driven solutions using modern cloud and data platforms.
Overview
What You'll Work On
This internship offers an opportunity to work on production-grade data engineering pipelines and AI-driven solutions. Selected candidates will gain hands-on experience in designing and building scalable data systems using modern data engineering tools and cloud platforms.
Key Responsibilities
Day-to-Day Scope
- Design, develop, and maintain ETL/ELT pipelines.
- Process and transform large datasets using PySpark.
- Work with cloud-based data infrastructure on AWS including S3, Lambda, and Glue.
- Utilize platforms such as Databricks for data processing and workflow management.
- Assist in designing data architectures and optimized data models.
- Contribute to AI/ML-oriented data workflows and solutions.
- Ensure data quality, performance optimization, and system reliability.
Required Skills
What We're Looking For
- Strong foundation in Python and SQL.
- Understanding of data engineering concepts including ETL, data pipelines, and data modeling.
- Familiarity with PySpark or distributed data processing frameworks.
- Exposure to cloud platforms, preferably AWS.
- Basic knowledge of Databricks or willingness to learn.
- Strong analytical and problem-solving skills.
Role Details
Quick Snapshot
Duration
6 Months, extendable based on performance
Stipend
Rs. 10,000 per month
Mode
Hybrid
Selection
Direct Technical Interview
Eligibility
Minimum 75% academic performance
PPO
Exceptional performers may be considered for a full-time opportunity based on their performance during the internship.
Who Should Apply
Ideal Candidate
We are looking for candidates who demonstrate strong fundamentals, intellectual curiosity, and a genuine interest in building scalable data systems.
Apply For This Role
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