Python Developer Interns

Job Summary

We are looking for passionate and skilled Python Developer Interns to join our Digital Technology Solutions Department. The interns will be involved in developing software modules, data-driven tools, and digital product solutions for industrial and business applications.

Key Responsibilities

• Design, develop, and test Python-based software components and scripts for digital products and automation tools.
  




• Assist in building web applications, APIs, and backend services using Python frameworks such as Flask or Django.
  




• Support data acquisition, transformation, and analysis workflows from multiple sources (databases, sensors, or APIs).
  




• Collaborate with cross-functional teams to develop integrated Digital Technology Solutions for internal and client projects.
  




• Participate in prototyping, debugging, and performance optimization of developed applications.
  




• Work on automation and integration tasks with IoT, industrial systems, or business process applications.
  




• Prepare documentation, version control (Git), and maintain structured development records.
  

Requirements

Technical Skills Required

• Strong foundation in Python programming and object-oriented design.
  




• Basic experience with Flask or Django frameworks for web and API development.
  




• Familiarity with SQL / NoSQL databases (MySQL, PostgreSQL, MongoDB).
  




• Understanding of RESTful APIs, JSON/XML data formats, and integration techniques.
  




• Exposure to data analytics, Excel/CSV automation, or scripting for data handling.
  




• Basic understanding of IoT communication protocols (MQTT, Modbus, OPC-UA) – desirable.
  




• Experience with Git/GitHub for version control.
  




• Optional: Familiarity with NumPy, Pandas, or OpenCV for data or image handling.
  

Eligibility & Qualifications

• Pursuing B.E/B.Tech/M.E/M.Tech/BCA/MCA in Computer Science, IT, Electronics, or related discipline.
  




• Final year students or recent graduates preferred.
  




• Academic or personal projects demonstrating Python programming proficiency will be an advantage.