Data Engineer-Data Modeling

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 at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. 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.

Required education

• Bachelor's Degree

Preferred education

• Master's Degree

Required technical and professional expertise

• 4+ 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.

Preferred technical and professional experience

• 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.