Python Engineer

Key Responsibilities

• Assist in developing lightweight Python-based utilities and scripts to support automation feasibility validation and diagnostic testing.
• Contribute to internal code libraries by building and documenting reusable Python components.
• Support the development of document parsing, data transformation, and API simulation tools under guidance.
• Collaborate with senior developers to troubleshoot technical issues and implement fallback logic.
• Learn and apply coding standards for modular design, structured logging, and exception handling.
• Contribute to internal automation projects involving No Code / Low Code platforms (on a need basis).
• Maintain and update internal repositories with vetted preprocessing tools (e.g., tabular extraction, basic NLP workflows).
• Participate in code reviews and documentation efforts for SI-delivered components.
• Implement post-deployment enhancements such as retry handling, optimization scripts, or enrichment utilities.

Required Technical Skills

• Strong programming fundamentals in Python, with hands-on expertise in functions, OOP concepts, modules, exception handling, decorators, context managers, and advanced data structures.
• Excellent logical reasoning, algorithmic problem-solving, and debugging skills demonstrated through professional and project work.
• Ability to write clean, reusable, and modular code following design patterns and coding best practices (PEP8, type hinting).
• Basic understanding of relational databases (preferably MSSQL) with ability to write and optimize simple queries (CRUD operations, joins, indexing).
• Exposure to API integration concepts (requests, response parsing, status codes).
• Basic familiarity with reusable function design, utility packaging, and modular code principles.
• Awareness of cloud concepts such as function-as-a-service (e.g., Azure Functions or AWS Lambda).
• Experience in building beginner-level scalable web applications or dashboards using Flask, Django, Streamlit, or FastAPI.
• Exposure to Git and understanding of the purpose of CI/CD pipelines, even if not yet implemented independently.
• Exposure to basic AI workflows and use of Python libraries like OpenAI, Langchain, or Azure AI SDKs.
• Understanding of JSON, REST APIs, and common data exchange formats.
• Experience in libraries like NumPy, pandas, scikit-learn, or TensorFlow is an added advantage.

Good to Have Skills

• Exposure to basic NLP libraries and document parsing.
• Experience with container basics (Docker) or cloud environments (Azure, AWS).
• Awareness of No Code / Low Code concepts and platforms.

Soft Skills

• Eagerness to learn, apply feedback, and follow coding best practices.
• Clear communication and curiosity in understanding problem statements.
• Team player mindset with willingness to support senior engineers and cross-functional teams.
• Organized in maintaining code documentation and commit history.

Qualifications

• Bachelors degree in Computer Science, Information Technology, or a related field.
• Certifications such as PCEP (Certified Entry-Level Python Programmer), PCAP (Certified Associate in Python Programming), or Microsoft Certified: Azure AI Fundamentals are desirable.

Deliverables

• Utility scripts, diagnostic tools, and transformation pipelines.
• Internal component documentation and usage guidelines.
• Participation in internal testing, feedback cycles, and repository maintenance.
• Contributions to project delivery assets under mentorship.