FULL STACK DEVELOPER

Introduction

A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe. In this role, you will work for IBM BPO, part of Consulting that, accelerates digital transformation using agile methodologies, process mining, and AI-powered workflows.  You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including IBM Software and Red Hat.  Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be supported by mentors and coaches who will encourage you to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and learning opportunities in an environment that embraces your unique skills and experience.   

Your Role And Responsibilities

We are seeking for a passionate and skilled Python Backend Data Engineer to design, develop and maintain hybrid data Platform across multi-cloud and on-premises. You will collaborate with AI engineers, product managers, and software engineers to bring data driven products and features to life.

• Build high-performing, scalable, enterprise-grade applications.
• Manage Big Data application development across the full software development lifecycle.
• Cloud platforms experience (AWS, GCP, Azure).
• Experience with CI/CD pipelines for data engineering workflows.
  

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Must have: Python3, Fast API, Spark, Iceberg.
• RESTful web services, Kafka messaging service.
• Experience with Gen AI ecosystem/tools is a plus.
• Experience in data wrangling using Pandas/Polaris, NumPy, SQL, etc.
• No SQL & SQL databases (Postgres/MySQL, Mongo with GridFs)
• Modern authorization mechanisms (JSON Web Token, OAuth2)
  

Preferred Technical And Professional Experience

• Object-Oriented analysis and design (DDD, Microservices)
• Understanding of cloud platforms (AWS, GCP, Azure) is a plus.
• Any exposure to any BI tools is a plus.
• Problem-Solving: Excellent analytical and problem-solving skills, with the ability to think critically and creatively.
• Communication: Strong interpersonal and communication skills in English, with the ability to work effectively in a collaborative team environment