Amazon is hiring: Data Engineer , Amazon in Palo Alto

Description Interested in Visual Search? Do you want to work on a team that is changing how people shop with their mobile devices? Based in Palo Alto, our team is responsible for building computer-vision based solutions for shopping - from using the phone’s camera to search for a product to previewing it in your own living space using AR. Our solutions are available in the Amazon Mobile Shopping app and used by millions of people worldwide every day. We use advanced technologies to leverage our vast catalog of images in ways that dramatically improve the experience of Amazon customers. We tackle complex problems in computer vision, computer graphics, deep learning, image search. Key job responsibilities In this role, you will be member of the team that owns the Data Engineering function for the Visual Shopping org. This team manages datasets that act as the final feedback to our group on how well our features are being received by customers. You will build and maintain data pipelines that handle Amazon scale data and make it easily accessible for BIEs and Product team for querying and for generation of reports relevant to business. A great fit candidate for this role would be someone who brings experience building large scale big data systems that can handle petabytes of data. Design, implement and support an analytical data infrastructure Create and maintain data transformation logic, create scalable data solutions Interface with other technology teams to extract, transform, and load data from a wide variety of data sources Collaborate with BIEs to recognize and help adopt best practices in reporting and analysis Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency Help continually improve ongoing data ingestion, reporting and analysis processes Maintain internal reporting platforms/tools Write advanced SQL queries and code to develop data solutions Basic Qualifications 3+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Solid track record of manipulating, processing, and extracting values from large datasets. Hands-on experience and highly advanced knowledge of SQL, Data Modeling, ETL Development, and Data Warehousing. Solid experience using big data technologies (Redshift, MapReduce, Hive, Hbase, Spark, EMR, etc.). Strong customer focus, ownership, and ability to deliver results. Excellent communication and collaboration skills Effective analytical, troubleshooting, and problem-solving skills. 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) Experience building large-scale, high-throughput, 24x7 data systems 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. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.