Python Data Engineer

Introduction

A career in IBM Consulting is rooted in long-term relationships and close collaboration with clients across the globe.

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 Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. You will be encouraged 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 development opportunities in an environment that embraces your unique skills and experience.

Your Role And Responsibilities

A Data Engineer with expertise in Data Platforms specializes in developing applications on Big Data technologies, such as API development. This role requires a strong foundation in traditional Application Development, along with knowledge of Analytics libraries, open-source Natural Language Processing, and statistical and big data computing libraries. The ideal candidate will possess exceptional technical abilities to understand, design, write, and debug complex code.

We are seeking a skilled and motivated Python Data Engineer to join our engineering team. In this role, you will be responsible for designing and building scalable backend solutions, integrating third-party services, and collaborating with cross-functional teams to deliver high-quality software. If you’re passionate about clean code, API development, and performance optimization, this is a great opportunity to make an impact.

Required Technical And Professional Expertise

Required Professional and Technical Expertise

• Strong proficiency in Python and experience building production-grade applications.
• Solid understanding of RESTful API design and integration.
• Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
• Familiarity with CI/CD pipelines and deployment tools.
• Ability to write clean, maintainable, and well-documented code.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
  
  

Preferred Technical And Professional Experience

Preferred Professional and Technical Expertise

• Experience with frameworks such as Flask, Django, or FastAPI.
• Knowledge of containerization tools like Docker and orchestration platforms like Kubernetes.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
• Exposure to Agile development methodologies.
• Experience with performance monitoring and optimization tools.