Hewlett Packard Enterprise advances the way people live and work. We bring together the brightest minds to create breakthrough technology solutions, helping our customers make their mark on the world.
Global Operations prioritizes putting customers and partners first by developing the workforce of the future. This involves strategic, inclusive, and collaborative working culture. At our core, we strive to uphold HPE’s values – to partner, innovate and act – we are an organization that plan, source, and provide quality customer and partner experiences.
The candidate would join the HPE Global Operations Technology and Solution Team. The candidate will work closely with global HPE Global Operations organization to design, develop and manage Business Owned solutions using various tools and technologies. Some work would also involve superior data handling skills to support various aspects of planning and executive decision making.
Understand business requirement to develop and implement solutions that address business needs and adhere to big data architectural guidelines
Leads design activities and provide mentoring and guidance to developer team on designs, preparation and execution.
Develop data-driven solutions to complex business challenges while working with data scientists and business consultants.
Works within the Information Technology function, obtaining resources and working in support of objectives and strategies.
Architect and create data views from big data store to feed into analytics solutions and visualization layers
Troubleshoot, debug when data is found to be inaccurate.
Root cause analysis of data issues and coming up with stable long terms solutions.
Education & Experience
Bachelor/Master ’s degree in IT, Computer Science, Software Engineering, Business Analytics or equivalent
8-12 years’ experience in industry experience working on data warehousing / distributed system (e.g. Hadoop)
Supply Chain domain experience preferred
Digital Supply Chain from a real time visibility
A technology evangelist who provides the right thought leadership on technology choices
Experienced in SAP, SFDC and / or related adapters preferred
Expert in building and optimizing ‘big data’ data pipelines, architectures, and data sets
Experience writing code IN databases like SqlServer;