Your role and responsibilities
As 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
- Excellent analytical and problem-solving skills with a keen attention to detail
Preferred technical and professional experience
- Strong verbal and written communication skills, with the ability to explain complex concepts to non-technical stakeholders
- Ability to work collaboratively in a team environment and manage multiple projects simultaneously
- Knowledge of programming languages such as SQL