(2025 Campus Hire) Associate Data Engineer

Introduction
At IBM work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so lets talk.

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 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 behaviors.
• Build 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

• Ability to use programming languages like Java Python Scala etc. to build pipelines to extract and transform data from a repository to a data consumer
• Ability 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 Java
• Knowledge in Cloud (IBM Cloud AWS Azure GCP etc.) statistical and machine learning techniques
• Less than 2 years full-time working experience
• Fluent English and Mandarin communication

Preferred Technical and Professional Expertise

• Basic 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