Full Stack Engineer

As a Full Stack Engineer at Accenture in Bengaluru, you will be instrumental in developing and engineering end-to-end system features, encompassing both user experience and backend code. You will leverage your development expertise to deliver innovative solutions that empower clients to enhance their services. Embracing a cloud-first and agile methodology, you will apply new technologies to address complex business challenges.

Core Responsibilities:

• Build and deploy robust Python-based applications and analytics solutions.
• Write clean, modular, and high-performance Python code.
• Develop and maintain essential data pipelines and backend services.
• Collaborate with data and platform teams to ensure data quality for analytics and future ML initiatives.
• Contribute to technical design and engineering decisions, with Python as your primary strength.
• Support the integration of ML and Generative AI models into Python applications as you grow your skillset.
• Resolve technical challenges across various teams with a strong, solution-oriented engineering mindset.
• Provide guidance and mentorship to junior engineers on Python best practices.
• Continuously enhance code quality, testing procedures, performance, and deployment processes.

Must-Have Skills:

• Strong hands-on experience in Python development.
• Proven experience building and supporting production-grade Python applications.
• Solid understanding of data structures, Object-Oriented Programming (OOP), and Python performance optimization.
• Practical experience with data manipulation libraries such as Pandas and NumPy.
• Working knowledge of SQL and relational databases.
• Familiarity with backend frameworks including Flask, FastAPI, or Django.
• Sound understanding of software engineering best practices, including Git, unit testing, and Continuous Integration/Continuous Deployment (CI/CD).

Good-to-Have Skills:

• Exposure to data analytics or analytical problem-solving.
• Basic understanding of machine learning concepts.
• Awareness of AI, ML, or Generative AI fundamentals (structured training will be provided).
• Experience working with cloud platforms like Azure, AWS, or GCP.
• Familiarity with containerization technologies (Docker), APIs, and deployment pipelines.

This role requires a minimum of 2 years of hands-on Python experience, preferably in Python backend, analytics, or full-stack development. A strong interest in learning and evolving into AI, ML, and Generative AI modeling is essential. A minimum of 15 years of full-time education is required.