Data Engineer-Data Platforms-Azure

About the position

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; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to 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 resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. In this role, you'll 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.

Responsibilities

• Develop, maintain, evaluate and test big data solutions.
• Involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data Platform.

Requirements

• Strong and proven background in Information Technology & working knowledge of .NET Core, C#, REST API, LINQ, Entity Framework, XUnit.
• Troubleshooting issues related to code performance.
• Working knowledge of Angular 15 or later, Typescript, Jest Framework, HTML 5 and CSS 3 & MS SQL Databases, troubleshooting issues related to DB performance.
• Good understanding of CQRS, mediator, repository pattern.
• Good understanding of CI/CD pipelines and SonarQube & messaging and reverse proxy.

Nice-to-haves

• Good understanding of AuthN and AuthZ techniques like (windows, basic, JWT).
• Good understanding of GIT and its process like Pull request.
• Merge, pull, commit Methodology skills like AGILE, TDD, UML.