Senior Data Engineer

Senior Data Engineer This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Within HPE, our Operations, Legal and Admin teams work across the business, providing visible accountability and measurable outcomes. With a variety of roles and responsibilities these teams really connect the dots, giving us the essential insights, support and capability to accelerate our transformation to be the world’s edge to cloud company. Join us redefine what’s next for you. Job Family Definition: Analyzes customer information requirements and product specifications to define technical content strategy and plan. Designs and develops written and/or visual product-related information – hard copy, web - (e.g., user/configuration/troubleshooting guides), and online information (interactive demos, help systems) integrated into product, for a variety of audiences (end user, system administrators, internal support engineers, product developers, training developers). Codes, builds, compiles, and tests online information and/or sets-up, loads and tests systems hardware to create information deliverables and provide feedback on ease of use and user interfaces to product development. As customer advocate, helps define/refine product requirements. Develops standards and style documents and templates, scripts, style sheets, and script and graphic libraries to ensure common look and feel. Interfaces with cross-functional areas as a member of the product development team, such as marketing, test, support, and manufacturing. Management Level Definition: Unique mastery  and recognized authority on relevant subject matter knowledge including technologies, theories and techniques. Contributes to the development of innovative principles and ideas. Successfully operates in the most complex disciplines, in which the company must operate to be successful. Provides highly innovative solutions. Leads large, cross-division functional teams or projects that affect the organization's long-term goals and objectives. May participate in cross-division, multi-function teams. Provides mentoring and guidance to lower level employees. Routinely exercises independent judgment in developing methods, techniques and criteria for achieving objectives. Develops strategy and sets functional policy and direction. Acts as a functional manager within area of expertise but does not manage other employees as a primary job function.

Conceptualizes, builds, develops, and enhances a clients’ analytical models.  Determines the right modeling methodology for the use case, available structured and unstructured data, cost and timing constraints to solve the large and complex business issues and delivers compelling and clear business focused insights. Design and engineer application solutions. Can work with multiple databases and big data solutions. Standardize ELT, BI, governance, and analytics. Technically lead, design, develop distributed, high-throughput, low-latency, and highly available solutions. Understand business requirement to build reliable application solutions. Work with the data engineering team to develop & maintain data pipelines. Identify, design, and implement