Data Engineer-Data Platforms

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your role and responsibilities

As a Data Engineer specializing in Data Platforms, you will develop applications on Big Data technologies, including 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. Your primary responsibilities will include: * Design and Develop Applications: Develop applications on Big Data technologies, including API development, utilizing expertise in traditional Application Development and knowledge of Analytics libraries. * Write and Debug Code: Write and debug complex code, applying technical abilities to ensure high-quality solutions. * Apply Technical Expertise: Apply knowledge of open-source Natural Language Processing, and statistical and big data computing libraries to deliver robust data platforms.

Required education
Bachelor's Degree

Preferred education
Master's Degree

Required technical and professional expertise

* Traditional Application Development: Exposure to developing applications using traditional methods, with a strong foundation in software development principles. * Big Data Technologies: Experience working with Big Data technologies, including API development and data processing frameworks. * Analytics Libraries: Exposure to Analytics libraries, with knowledge of how to integrate them into data platforms. * Open-Source Natural Language Processing: Experience working with open-source Natural Language Processing tools and techniques, with an understanding of their application in data analysis. * Statistical and Big Data Computing Libraries: Exposure to statistical and big data computing libraries, with knowledge of how to apply them in data platform development.

Preferred technical and professional experience

* Advanced Analytics Knowledge: Exposure to advanced analytics concepts, including data modeling and machine learning, is beneficial for this role. * Cloud-Based Big Data: Experience working with cloud-based big data technologies, such as cloud-based data warehousing and data processing frameworks, is advantageous. * Additional Programming Languages: Knowledge of additional programming languages, such as Python or R, is desirable for developing applications on Big Data technologies.

Years of Experience:
4-6