About this role
Data Engineer Job ID: 10465651 | Amazon EU Sarl - A84 Description Do you love building tools and data pipelines? Are you excited by the opportunity to create clear effective reports and data visualizations, and collaborate with stakeholders to answer key business questions? Do you want to be a part of a fast-paced environment and contribute to one of the most visited sites on the Internet? If this describes you, consider joining us as a Data Engineer. You will have the opportunity to work alongside the industry's brightest engineers, who innovate every day on behalf of our customers. You will be matched to a manager and a mentor. You will have the opportunity to affect the evolution of Amazon technology, as well as lead mission-critical projects early in your career. Your work will contribute to solving some of the most complex technical challenges in the company. In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development and expand your network. Come chart your own path at Amazon. Key job responsibilities • Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources • Design data schema and operate internal data warehouses and SQL/NoSQL database systems • Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions • Monitor and troubleshoot operational or data issues in the data pipelines • Drive architectural plans and implementation for future data storage, reporting, and analytic solutions • Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems • Provide assistance to the team with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem A day in the life Our Data Engineers build and maintain the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, data storage principles, and recent advances in distributed systems (e.g. MapReduce, MPP architectures, NoSQL database. We're looking for Data Engineer interns to join one of our many lines of business. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfilment. Inclusive Team Culture Our team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Yes, we do get to build a really cool service, but we also think a big reason for that is inclusive and welcoming culture we try to cultivate every day. Mentorship & Career Growth We care about your career growth. Whether your goals are to explore new design concepts, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it. Basic Qualifications • Currently enrolled in or received a Bachelor's Degree in computer science, computer engineering, information technology, or related fields (or graduated less than 12 months ago). • Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) • Experience with one or more scripting language (e.g., Python, KornShell) • Experience with data mining, data warehouse solutions, • Experience with ETL flow and tools Preferred Qualifications • Proficient in at least one or more query language, schema definition language, and scripting language • Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets • Experience with data visualization software (e.g., AWS QuickSight or Tableau) or open-source project • Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments • Ability to deal with ambiguity in a fast-paced environment Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.