Data Engineer - Business Intelligence (Int)

Job description

Introduction
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.

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.

Your Role and Responsibilities

·  Take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation and visualization
·  Creating the pipeline for data processing, data visualization, and analytics products, including automated services, and APIs
·  Streamlining and automating data acquisition and possess a highly structured approach to problem solving
·  Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
·  Contribute to solution design and build to ensure scalability, performance and reuse of data and other components
·  End-to-end data handling, management and analytics processes

Required Technical and Professional Expertise

·  Knowledge: GCP, AWS, Azure
·  Understanding Python data structures
·  Basis Docker & Kubernetes

Preferred Technical and Professional Expertise
NA