Engineering Intern

Engineering Intern

Pando is a global leader in supply chain technology, building the world's quickest time-to-value   Fulfilment   Cloud   platform.   Pando’s   Fulfilment   Cloud   provides   manufacturers, retailers, and 3PLs with a single pane of glass to streamline end-to-end purchase order. Fulfilment   and   customer   order fulfilment   to   improve   service   levels, reduce   carbon footprint, and   bring   down   costs.   As   a   partner   of   choice   for   Fortune   500   enterprises
globally, with a presence across APAC, the Middle East, and the US, Pando is recognized as a Technology Pioneer by the World Economic Forum (WEF), and as one of the fastest growing technology companies by Deloitte.

Why Pando?
We are one of the fastest growing companies reimagining supply chain and logistics for Manufacturers & Retailers scaling up globally.  We are a growing team, unrelenting and enthusiastic about  building   great   products.   We   have   folks   who   are   pragmatic, imaginative or a quirky combination of both. We yearn for purpose in our work & support. Each other to grow. We work extremely hard with people we respect and admire, and we
play to win.

If you would like to be a part of our growth journey, have a conversation with us!

Role:  Intern

We are looking for a capable python developer to optimize our web-based application performance. You will be collaborating with our application developers, designing back- end components, and integrating data storage, 3rd party service providers with the web application and related solutions.

Responsibilities
· Develop, test, and maintain efficient, reusable, and reliable Python code using Django framework.
· Design and implement data models and database schemas using SQL for storage and retrieval of application data.
· Collaborate with front-end developers to integrate user-facing elements with server-side logic.
· Work closely with data engineers and analysts to understand requirements and implement data processing pipelines using Pandas and PySpark.
· Optimize application performance, scalability, and reliability through code refactoring, database optimization, and system architecture improvements.
· Debug and resolve technical issues reported in production environments.
· Stay updated with emerging technologies and industry best practices to continuously improve software development processes and methodologies.

Requirements

· Hands-on experience in Python (Django, SQL, Pandas, Pyspark)
· Knowledgeable in AWS ETL services.
· 0 to 1 years of experience.
· Exceptional analytical and problem-solving aptitude.
· Interpersonal, communication, and collaboration skills.
· Bachelor's degree in computer science, information science, or similar.