A 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 portfolio
As an senior-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 maintain statistical models with a focus on big data incorporating a variety of statistical and machine learning techniques
- Designing and implementing various enterprise seach 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
- Ability to incorporate a variety of statistical and machine learning techniques
- Basic understanding of Cloud (AWSAzure 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
Hiring manager and Recruiter should collaborate to create the relevant verbiage.