IBM
Overview
Data Engineer - Entry Level (Baton Rouge, LA)
Introduction
In this role, you will 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. As an Associate Consultant at IBM Consulting, you will have the opportunity to work with a diverse range of clients worldwide. Our clients\' technical and business needs are constantly evolving. We\'re hiring inspired, talented individuals who believe no problem is too big to solve.
We focus on your professional development through ongoing learning, mentorship, development of technical skills, and continuous personal growth, all grounded in a culture of coaching and career advancement.
A career in IBM Consulting is rooted in 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. Curiosity and a constant quest for knowledge serve as the foundation for success in IBM Consulting. In your role, you\'ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions that result in ground-breaking impact for a wide network of clients.
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 and 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.
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 write 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 incorporate a variety of statistical and machine learning techniques.
Basic understanding of Cloud (AWS, Azure, etc).
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.
Preferred Technical And Professional Experience
Basic understanding or experience with predictive / prescriptive modeling skills.
Excellent verbal and written communication skills.
Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions.
Ability to ask business and industry questions to identify appropriate modeling techniques.
Ability to communicate results to technical and non-technical audiences.
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Introduction
In this role, you will 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. As an Associate Consultant at IBM Consulting, you will have the opportunity to work with a diverse range of clients worldwide. Our clients\' technical and business needs are constantly evolving. We\'re hiring inspired, talented individuals who believe no problem is too big to solve.
We focus on your professional development through ongoing learning, mentorship, development of technical skills, and continuous personal growth, all grounded in a culture of coaching and career advancement.
A career in IBM Consulting is rooted in 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. Curiosity and a constant quest for knowledge serve as the foundation for success in IBM Consulting. In your role, you\'ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions that result in ground-breaking impact for a wide network of clients.
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 and 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.
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 write 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 incorporate a variety of statistical and machine learning techniques.
Basic understanding of Cloud (AWS, Azure, etc).
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.
Preferred Technical And Professional Experience
Basic understanding or experience with predictive / prescriptive modeling skills.
Excellent verbal and written communication skills.
Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions.
Ability to ask business and industry questions to identify appropriate modeling techniques.
Ability to communicate results to technical and non-technical audiences.
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