Introduction
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
Your Role And Responsibilities
- As an 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 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 behaviours.
- Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results
Required Technical And Professional Expertise
- We are seeking a skilled Azure Data Engineer with 5+ years of experience
- Including 3+ years of hands-on experience with ADF/Databricks
- The ideal candidate Data bricks,Data Lake, Phyton programming skills.
- The candidate will also have experience for deploying to data bricks.
- Familiarity with Azure Data Factory
Preferred Technical And Professional Experience
- Good communication skills.
- 3+ years of experience with ADF/DB/DataLake.
- Ability to communicate results to technical and non-technical audiences
