Data Engineer-Data Modeling

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.

Your Role And Responsibilities

• In this role, your responsibilities may include:
• Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
• Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
• Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours.
• Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results
  
  

• 12+ years of experience in data modelling, data architecture.
• Proficiency in data modelling tools Erwin, IBM Infosphere Data Architect and database management systems
• Familiarity with different data models like relational, dimensional and NoSQL databases.
• Understanding of business processes and how data supports business decision making.
• Strong understanding of database design principles, data warehousing concepts, and data governance practices
  
  

• Excellent analytical and problem-solving skills with a keen attention to detail.
• Ability to work collaboratively in a team environment and manage multiple projects simultaneously.
• Knowledge of programming languages such as SQL