Data Engineer-Data Platforms

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.

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

Work experience in Structured Query Language (SQL) spark, hive & pl/sql, have knowledge with Big Data Technologies such as Hadoop, Apache Spark, and Hive Have experience in ETL (Extract, Transform, Load) i.e Talend, Linux environment (shell scripting), Basic understanding of machine learning concepts. Added advantages : scheduling tools - control-m, airflow Monitoring tools - Sumologic, SPLUNK Visualization tools (tableau, power bi) Also process side , Incident Management Can leverage AI in deep dive investigation of incidents & requests.