Senior Data Engineer, Privacy Team
US, TX, Virtual Location - Texas
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...Note: This role is open to candidates in Austin, Dallas, Houston, San Antonio or similar locations; successful candidates will be required to travel to our office in Austin once a month on a pre-determined schedule.
Amazon’s mission is to be earth’s most customer-centric company and our team is the guardian of our customer’s privacy. The Amazon InfoSec Privacy team is looking for builders that want to create unique data privacy solutions that help us retain our customer’s trust. Our team partners across Amazon’s Consumer and Digital business units to build, monitor, and protect a secure environment for the Amazon business. As a data engineer on our team, you are considered a technical leader. Your work focuses on ambiguous problem areas in both existing and new data initiatives. You take a long term view of the team’s data solutions and how they fit into the team’s architecture. You anticipate data access patterns and remove bottlenecks from their systems. You ensure your team’s data is auditable, available, and accessible. You proactively fix data architecture deficiencies and/or propose larger projects, which may require the work of other teams. You split that work into parallel tasks that can be performed by you and others and then reassembled successfully.
The ideal candidate is clearly passionate about new opportunities and has a demonstrated track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high-performance products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, data management knowledge across both relational and non-relational datastores, and practical experience building large-scale distributed systems. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment where priorities shift fast. The successful candidate’s code and approach to work will be exemplary, delivering solutions that are inventive, secure, easily maintainable, appropriately scalable, and extensible. Your solutions will apply to all of Amazon’s consumer and digital businesses including but not limited to Amazon.com, Alexa, Kindle, Amazon Go, Prime Video and more.
Key job responsibilities
· Architecting highly scalable, extensible data storage and retrieval solutions.
· Partnering with peers across organizations to develop appropriate integrations via APIs, message queues, and batch data extracts.
· Mentoring, coaching and developing junior team member in data handling best practices.
· Operating in an Agile/Scrum environment to deliver high quality projects on aggressive schedules.
About the team
Amazon recognizes the importance of maintaining customer trust. Our mission in CDO Privacy is to make it simple for individuals to understand how, when, and why Amazon collects and uses their data and to allow them to control their privacy across Amazon. We provide our fellow CDO software teams across all of Amazon with solutions to help them manage their privacy responsibilities without sacrificing innovation on the behalf of our customers.
Basic Qualifications
· Bachelor’s degree in Computer Science, Computer Engineering, or related technical discipline
· 5+ years of relevant data engineering experience
· Experience with both relational (Oracle, SQL Server, Sybase, Postgres, etc.) and non-relational (DynamoDB, Neptune, MongoDB, HBase, etc.) databases.
Preferred Qualifications
· Software development experience in OOP, Java, C++, Linux/UNIX or other relevant technologies.· Experience taking a leading role in building complex data systems that have been successfully delivered to customers.
· Knowledge of professional software and data engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
· Experience with distributed computing and enterprise-wide systems .
· Experience in communicating with users, other technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategy.
· Experience mentoring junior software and data engineers to improve their skills, and make them more effective.
· Experience influencing software and data engineering best practices within your team.
· Hands-on expertise in many disparate technologies, typically ranging from front-end user interfaces through to back-end systems and all points in between .
· Experience developing data privacy solutions, including data handling techniques (e.g. pseudonymization, anonymization, data scrubbing).
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Tags: Agile APIs Computer Science Data management Distributed Systems DynamoDB Engineering HBase Linux MongoDB OOP Oracle PostgreSQL Scrum SQL Testing
Perks/benefits: Career development Startup environment
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