Introduction
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 an entry-level 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 maintaining 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.Working 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 behaviors.Building teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results. Required Technical and Professional Expertise
Strong experience in data management: data quality, integration, and warehousing.
Proficiency in SQL and other query languages to manipulate and analyze data.Familiarity with ETL processes (data extraction, transformation, and loading).Knowledge of metadata management and creating effective taxonomies.Ability to work in a dynamic environment and collaborate on large-scale projects. Preferred Technical and Professional Expertise Previous experience with data cataloging tools (Ovaledge or others) to be able to guide in the selection of the new cloud tool.Knowledge in cloud platforms and data architectures.
#J-18808-Ljbffr