(2026 Campus Hire) Associate Data Engineer

IntroductionA career in IBM Consulting is rooted by 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 portfolioYour Role And ResponsibilitiesAs an Associate 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 IncludeImplementing 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 applications such as Elasticsearch and Splunk for client requirementsWork 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 behaviorsBuild teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling resultsRequired Technical And Professional ExpertiseAbility to use programming languages like Java, Python, Scala, etc., to build pipelines to extract and transform data from a repository to a data consumerAbility to use Extract, Transform, and Load (ETL) tools and/or data integration, or federation tools to prepare and transform data as needed.Ability to use leading edge tools such as Linux, SQL, Python, Spark, Hadoop and JavaKnowledge in Cloud (IBM Cloud, AWS, Azure, GCP etc.), statistical and machine learning techniques Less than 1 years full-time working experience. Fluent English and Mandarin communicationPreferred Technical And Professional ExperienceBasic understanding or experience with predictive/prescriptive modeling skills You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions