Python Developer

IBM

4 years

0 Lacs

bengaluru east karnataka india

Posted:1 week ago| Platform:

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Skills Required

python developer consulting technology engineering ai rest flask fastapi data processing etl sql nosql test code documentation stack programming django postgresql mysql mongodb concurrency writing integration numpy airflow git aws azure docker kubernetes microservices analysis ml

Work Mode

On-site

Job Type

Full Time

Job Description

Introduction

IBM Consulting drives business and technology transformation globally. Asset Engineering seeks an experienced Python developer to develop scalable AI solutions supporting multiple clients and internal initiatives.

Your Role And Responsibilities

What You’ll Do

Develop and maintain robust Python applications and services.
Build REST APIs using frameworks like Flask, FastAPI, or Django.
Work on data processing pipelines, batch jobs, and ETL tasks.
Integrate with SQL and NoSQL databases and external services.
Debug, test, and optimize code for performance and reliability.
Collaborate with product, data, and engineering teams to deliver new features.
Participate in code reviews and mentor junior developers.
Write documentation and help define best practices for the team.
Stay up-to-date on Python trends and propose improvements to our stack

Required Technical And Professional Expertise

Solid experience in Python programming (minimum 4 years).
Expertise with at least one web framework: Flask, Django, or FastAPI.
Experience with databases: both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis).
Comfortable working with asynchronous code or concurrency (multi-process / async) — if applicable.
Experience writing unit tests, integration tests; familiarity with pytest or equivalent.
Worked on data pipelines or automated workflows (Pandas, NumPy, Airflow, etc.).
Proficient with version control (Git) and CI/CD pipelines.
Good problem-solving skills and the ability to work independently

Preferred Technical And Professional Experience

Experience in cloud platforms (AWS / Azure / GCP).
Familiarity with Docker, Kubernetes, or microservices architecture.
Experience with data analysis, ML, or working closely with data teams.
Knowledge of async frameworks or event-driven Python systems.
Open-source contributions or personal Python projects.

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