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Senior Data EngineerAs an Amazon Senior Data Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.• Consumer Technology: Build new generation features and products for amazon.com, constantly im-proving the Customer and Seller experience for billions around the globe. Whether building site wide features such as reviews and recommendations, category specific software for the likes of Pharmacy, Electronics, Digital Software and Video Games or seller infrastructure, there are a variety of complex problems to tackle using a range of technologies in the design of your technical solutions.• Human Resources Technology: Create a seamless experience for millions of Amazonians and/or candidates. Whether supporting technologies for onboarding, time and attendance, compensation, ama-zon.jobs, or recruiting, you’ll deliver robust feature sets, elegant designs, intuitive user interfaces and systems that make it easy for Amazonians to excel at performing critical business functions.Work/Life Balance
Mentorship & Career Growth
Key job responsibilities
• Set the technical strategy for the team
• Lead complex technical initiatives within the team
• Explore technical needs and bring solutions to the table
• Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
• Assist in developing project plans and commitments, and then deliver consistently against those commitments.
• Build good working relationships within the team by communicating clearly both verbally and in writing
• Continuously optimize solutions to improve overall Platform performance, availability and fault tolerance
• Drive Operational excellence through metrics driven approach
• Understand customer pain points, build solutions to make large and/or complex data more accessible, understandable and usable by applications and teams
• Mentor and lead developers by cultivating curiosity, deep technical understanding through collaboration, code reviews, and leading by example.
- Bachelor’s degree in Information Technology, Software Engineering, Computer Science, or related field.
- 7+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Strong knowledge of SQL and demonstrated ability to apply SQL to a wide variety of business require-ments
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices
- Experience with data manipulation and visualization tools such as Tableau, Power BI, etc
- Strong knowledge in data warehousing concepts and data platforms and architecture
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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