Senior Data Engineer
Senior Data Engineer
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Job Description
Description
In the Go To Market Analytics Centre of Excellence our mission is to deliver impact by building machine learning products to optimize pricing and marketing investments and provide guidance to our sales organization. The products we are building are of high value to the company with the ambition to affect the pricing decisions and marketing investments for all of HP products globally and across all distribution channels utilizing advanced analytics machine learning and AI.
To get there we are looking for a Data Engineer to implement best engineering practices and to turn data from a raw resource into structured scalable highquality and compliant fuel feeding our AIpowered products and solutions.
What makes us stand out:
Best in class technologies.
Diverse learning opportunities.
Super collaborative environment and international experience.
Job Responsibilities:
Lead a project team of other data engineers for all stages of design and development for complex secure and performant data systems and solutions including design analysis coding testing and integration of structured/unstructured data.
Work with business stakeholders with diverse backgrounds and own teamlevel objectives building and managing relationships through the organization.
Own operational excellence objectives targeting reliability quality and release cadence while perfecting operational economies of scale through extreme automation.
Ensure compliance of data architecture systems and products with data policies (incl. privacy) architecture security and quality guidelines and standards
Codesign and lead architecture evolution activities through innovation and adoption of new technologies.
Collaborates and communicates with project team regarding project progress and issue resolution.
Provides guidance and mentoring to less experienced staff members.
Job Requirements:
Bachelors or Masters degree in Computer Science Information Systems Engineering or equivalent.
57 years of experience in Data Engineering or data related area
Handson expertise with data engineering systems (Databricks SQL engines) languages (Python SQL) and frameworks (Apache Spark) to explore mine transform and cleanse data.
Exposure in designing building and operating cloudnative products and solutions with experience in at least one major cloud vendors (e.g. AWS).
Solid foundations on the concepts and principles of how dataintensive systems work under the hood (e.g. consistency sharding horizontal scaling).
Experience with modern software lifecycle management tools including version control (git) test plan pyramids and quality test automation frameworks continuous integration and deployment processes and tools.
Experience in delivering software with agile project management tools and practices.
Move fast cando and executionbiased attitude.
Excellent communication skills; mastery in English and local language.
#LIPOST
Sales and Services Entity
Job
Data & Information TechnologySchedule
Full timeShift
No shift premium (Spain)Travel
Relocation
Equal Opportunity Employer (EEO)
HP Inc. provides equal employment opportunity to all employees and prospective employees without regard to race color religion sex national origin ancestry citizenship sexual orientation age disability or status as a protected veteran marital status familial status physical or mental disability medical condition pregnancy genetic predisposition or carrier status uniformed service status political affiliation or any other characteristic protected by applicable national federal state and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
If youd like more information about HPsEEO Policyor your EEO rights as an applicant under the law please click here:Equal Employment Opportunity is the LawEqual Employment Opportunity is the Law Supplement
Required Experience:
Senior IC
Employment Type
Full-Time
