Amazon strives to be Earth’s most customer-centric company, where customers can find and discover anything they might want to buy online. By giving customers more of what they want – low prices, vast selection, and convenience – Amazon continues to grow and evolve as a world-class e-commerce website. Core to Amazon’s mission to delight and serve customers is a need to invent on behalf of vendors. Our team is at the forefront of two pivotal programs, EU AVS and WW VX, each integral to enhancing the end Customer Experience and contributing to Amazon’s Long-Term Free Cash Flow. The EU AVS program aims to provide an industry-leading account management service at the optimal cost-to-serve for Amazon that exceeds vendors’ expectations and expedites their growth on Amazon. The WW VX program vision is to make Amazon the most preferred, trusted, and efficient distribution option for vendors by building an industry-leading experience for every vendor across all global touchpoints.
Key job responsibilities
Our team is looking for an experienced Senior Data engineer to implement and support scalable data infrastructure solutions in one of the world’s largest and most complex data warehouse environments. You will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be exposed to cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate.
A day in the life
Your major responsibilities will include:
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies.
• Explore and learn AWS technologies to provide new capabilities and increase efficiencies.
• Designing and implementing complex pipelines and other BI solutions.
• Work closely with business owners, developers, Business Intelligence Engineer to explore new data sources and deliver the data.
About the team
The AVS and VX program teams are diverse organizations with employees across Europe and with partner teams around the globe. This role can be based in London, Paris, Madrid, or Luxembourg. These teams drive improvements in products, services, tools, processes, communication, and vendor education world-wide working with partner teams in Europe, North America, Japan, and emerging locales and are responsible for all elements of a vendor’s interaction with Amazon including listing, catalog management, ordering, supply chain, marketing, payments, value-added services, and vendor support.
We are open to hiring candidates to work out of one of the following locations:
Clichy, FRA
BASIC QUALIFICATIONS
• Bachelor’s degree in Engineering, Computer Science, or a related technical discipline
• 5+ years of industry experience in Data Engineering, BI Engineer, or related field with a track record of and extracting value from bigdata
• Strong experience in distributed data, ETL pipelines and Data Warehousing
• Hands-on experience and advanced knowledge of SQL, Shell scripting and Python.
PREFERRED QUALIFICATIONS
• 10+ years of experience as a Data Engineer, BI Engineer, or Systems Analyst in a company with large, complex data sources.
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Experience working with AWS big data technologies (EMR, Redshift, S3, Glue, Lambda, etc.)
• Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
• Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
• Experience providing technical leadership and mentoring other engineers for best practices on data engineering
Amazon est un employeur engagé pour l’égalité des chances. Nous sommes convaincus qu’une main d’oeuvre diversifée est essentielle à notre réussite. Nous prenons nos décisions de recrutement en fonction de votre expérience et de vos compétences. Nous apprécions votre envie de découvrir, d’inventer, de simplifier et de construire. La protection de votre vie privée et la sécurité de vos données constituent depuis longtemps une priorité absolue pour Amazon. Veuillez consulter notre Politique de Confidentialité pour en savoir plus sur la façon dont nous collectons, utilisons et traitons les données personnelles de nos candidats.
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