If you are someone who enjoys Big Data, data analytics, and designing innovative analytical solutions in a fast-paced work environment, as well as, working with the latest technologies like PySpark, this job may be for you! This role as Big Data engineer is a leader in analytics for Staples, and will be responsible for defining, supporting, and evangelizing our Hortonworks implementation across the enterprise. You will work collaboratively, in a consultative way, across the business units, supporting and mentoring their engineering teams, advising on best approaches to leveraging Big Data in the most effective and efficient manner. You will partner with Staples Digital Solutions (Technology) teams across the enterprise, on a major modernization of data analytics platform initiative, building the foundational components to drive the business. You will also be responsible to develop relationships with leaders in both the business and IT, and bridge the gap, driving successful solutions across the organization. You will challenge and advise the business and your technology partners on the best use of data and reporting assets available, while influencing business priorities and driving results. Business partners will depend on your skill set, experience, and creativity, to build the best solution possible for their business need. There will be a strong focus on delivering robust, flexible solutions that increase business functionality and support the data science and analytics community.
Staples is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law.
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