Position title
Python Engineer (0–2 Yrs)
Description
  • Role Overview
    Efficienza is looking for a Python Engineer to join a fast-moving team building backend services, APIs, and data-driven applications. This role is ideal for candidates with strong Python fundamentals and an interest in backend development, whether gained through internships, academic projects, or self-driven learning. You will contribute to backend systems and data workflows that support both internal and client-facing products. We value engineers who take initiative, learn independently, ask thoughtful questions, and enjoy solving real-world technical problems.

    You will excel if you:

    • Write clean, readable Python code and maintain code standards as systems grow
    • Understand how APIs, databases, and services work together before implementation phase.
    • Use documentation, logs, and available resources to investigate problems and learn independently
    • Take ownership of assigned work, communicate blockers early, and follow through reliably
    • Stay curious about backend systems, APIs, data flows, and how real-world applications are built and scaled

    Key Responsibilities
    Python Development and Code Quality

    • Write clean, well-structured Python code following agreed conventions across functions, modules, and packages
    • Break down assigned features into logical components with clear input, output, and error handling before implementation
    • Use object-oriented programming concepts such as classes, inheritance, composition, and abstraction to build scalable backend applications
    • Apply Python fundamentals correctly: data structures, comprehensions, generators, context managers, and exception handling
    • Write code that is modular, reusable, and easy to extend as requirements evolve
    • Write basic unit tests for functions and modules using pytest to validate behaviour and catch regressions early

    Backend Services and API Development

    • Build and maintain RESTful API endpoints using FastAPI or Flask, following consistent naming and response conventions
    • Implement request validation, error handling, and structured response formatting across all endpoints
    • Work with relational databases: write queries, manage schema changes, and validate data integrity
    • Integrate with internal and third-party APIs, handling authentication, request validation, error responses, and service interactions
    • Work with external services and APIs, understand how they communicate, and troubleshoot integration issues when they arise


    Database and Storage

    • Write and optimize SQL queries for PostgreSQL across read, write, and aggregation use cases
    • Understand database schema design at a basic level: normalization, foreign keys, indexes, and the tradeoffs involved
    • Validate that data flows correctly between APIs, business logic, and storage layers
    • Work on caching and session storage by understanding basic data structures
    • Assist in maintaining database migrations and understand their impact on existing data and services

    Initiative and Independent Work

    • Take ownership of assigned tasks from implementation through testing and review
    • Raise ambiguities, dependencies, and blockers early instead of waiting until deadlines
    • Propose implementation approaches and seek feedback when requirements are unclear

    Collaboration and Communication

    • Collaborate with engineers during sprint activities and communicate progress, blockers, and dependencies clearly
    • Learn from code reviews and architectural guidance, applying established engineering standards consistently
    • Contribute to documentation and seek feedback early to ensure implementations align with team practices and expectations
  • Required Technical Knowledge

    Key Deliverables

    • Build and maintain Python services, APIs, and data workflows with appropriate testing and documentation
    • Deliver clean, reviewable code and pull requests that align with team standards
    • Contribute to reliable sprint delivery by completing tasks on time and communicating risks or blockers early


    Good to Have

    • Internship, academic, or personal project experience using Python for backend, data, or automation work
    • Exposure to Docker, async Python, data processing libraries, or message queue concepts
    • Open-source contributions or publicly accessible projects that demonstrate practical development experience
    Job Location
    Chennai
    Experience

    0-2 Years

    Date posted
    July 16, 2026
    PDF Export