Python Developer Interns

Job Summary<\/b>
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We are looking for passionate and skilled Python Developer Interns<\/b> to join our Digital Technology Solutions Department<\/b>. The interns will be involved in developing software modules, data\-driven tools, and digital product solutions for industrial and business applications.
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Key Responsibilities<\/b>
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  • Design, develop, and test Python\-based software components and scripts<\/b> for digital products and automation tools.
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  • Assist in building web applications<\/b>, APIs<\/b>, and backend services<\/b> using Python frameworks such as Flask<\/b> or Django<\/b>.
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  • Support data acquisition, transformation, and analysis<\/b> workflows from multiple sources (databases, sensors, or APIs).
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  • Collaborate with cross\-functional teams to develop integrated Digital Technology Solutions<\/b> for internal and client projects.
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  • Participate in prototyping, debugging, and performance optimization of developed applications.
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  • Work on automation and integration tasks<\/b> with IoT, industrial systems, or business process applications.
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  • Prepare documentation, version control (Git), and maintain structured development records.
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    Requirements<\/h3>

    Technical Skills Required<\/b>
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    • Strong foundation in Python programming<\/b> and object\-oriented design.
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    • Basic experience with Flask<\/b> or Django<\/b> frameworks for web and API development.
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    • Familiarity with SQL / NoSQL databases<\/b> (MySQL, PostgreSQL, MongoDB).
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    • Understanding of RESTful APIs<\/b>, JSON/XML data formats<\/b>, and integration techniques<\/b>.
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    • Exposure to data analytics<\/b>, Excel/CSV automation<\/b>, or scripting for data handling<\/b>.
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    • Basic understanding of IoT communication protocols<\/b> (MQTT, Modbus, OPC\-UA) \u2013 desirable.
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    • Experience with Git/GitHub<\/b> for version control.
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    • Optional: Familiarity with NumPy<\/b>, Pandas<\/b>, or OpenCV<\/b> for data or image handling.
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      Eligibility & Qualifications<\/b>
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      • Pursuing B.E/B.Tech/M.E/M.Tech/BCA/MCA<\/b> in Computer Science, IT, Electronics, or related discipline.
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      • Final year students or recent graduates preferred.
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      • Academic or personal projects demonstrating Python programming proficiency will be an advantage.
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