Data Engineer Ii, Jwo Tech

Description As part of the AWS Applied AI Solutions organization we have a vision to provide business applications leveraging Amazon s unique experience and expertise that are used by millions of companies worldwide to manage day-to-day operations We will accomplish this by accelerating our customers businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges We blend vision with curiosity and Amazon s real-world experience to build opinionated turnkey solutions Where customers prefer to buy over build we become their trusted partner with solutions that are no-brainers to buy and easy to use The AWS Just Walk Out Tech organization is seeking a talented Data Engineer to join our team In this role you will play a critical part in designing building and maintaining scalable data pipelines and architectures that power the Analytics our innovative checkout-free shopping experience You will work with both internal data and external Retailer-facing reports ensuring the efficient and reliable flow of data across various systems Key job responsibilities - Design develop and maintain high-performance fault-tolerant data pipelines that process and transform large volumes of structured and unstructured data from multiple sources - Implement automated data ingestion transformation and loading processes using industry-standard tools and technologies - Ensure data quality integrity and consistency across the entire data lifecycle - Collaborate with fellow Data Engineers cross-functional stakeholders including Researchers Customer Success Managers Software ML Engineers Product Managers and Technical Program Managers to define and implement robust data architectures that support Just Walk Out s business requirements - Lead the evolution of our data platform develop and implement data governance policies standards and best practices to ensure data security privacy and compliance - Design and maintain efficient data models for analytical and operational purposes considering scalability performance and data integration requirements - Implement robust monitoring and alerting systems to ensure the health and performance of data pipelines and infrastructure - Identify and resolve data-related issues bottlenecks and inefficiencies continuously optimizing data processes and systems - Provide technical guidance and mentorship to junior engineers fostering knowledge sharing and continuous learning - Document data architectures pipelines and processes to ensure maintainability and knowledge transfer About the team The Just Walk Out team at Amazon is dedicated to revolutionizing the retail experience through best in class technology that enables checkout-free shopping Our mission is to provide customers with a seamless convenient and hassle-free shopping experience by leveraging advanced computer vision sensor fusion and machine learning algorithms We foster a culture of innovation collaboration and customer obsession where talented individuals from diverse backgrounds come together to tackle complex challenges With a start-up mindset and an entrepreneurial spirit we embrace risk-taking experimentation and continuous learning Our team values open communication knowledge sharing and a supportive environment that encourages personal and professional growth We strive to push the boundaries of what s possible constantly seeking new ways to delight our customers and shape the future of retail Diverse Experiences Amazon values diverse experiences Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply If your career is just starting hasn t followed a traditional path or includes alternative experiences don t let it stop you from applying Why AWS Amazon Web Services AWS is the world s most comprehensive and broadly adopted cloud platform We pioneered cloud computing and never stopped innovating - that s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses Work Life Balance We value work-life harmony Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture When we feel supported in the workplace and at home there s nothing we can t achieve in the cloud Inclusive Team Culture Here at AWS it s in our nature to learn and be curious Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences Ongoing events and learning experiences including our Conversations on Race and Ethnicity CORE and AmazeCon diversity conferences inspire us to never stop embracing our uniqueness Mentorship and Career Growth We re continuously raising our performance bar as we strive to become Earth s Best Employer That s why you ll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional Basic Qualifications - 3 years of data engineering experience - Experience with data modeling warehousing and building ETL pipelines Preferred Qualifications - Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions - Experience with non-relational databases data stores object storage document or key-value stores graph databases column-family databases 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 for more information If the country region you re applying in isn t listed please contact your Recruiting Partner