Amazon

The Amazon Fulfillment Technologies (AFT) team owns all of the software and infrastructure which powers Amazon's world-class fulfillment engine.. As an Amazon.com Big Data Engineer you will be working in one of the world's largest and most complex data warehouse environments.. As a Big Data Engineer in this role, you will develop new data engineering patterns that leverage a new cloud architecture, and will extend or migrate our existing data pipelines to this architecture as needed.. Amazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network.. Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

data engineer

Description Have you ever ordered a product from Amazon and been amazed at how fast it gets to you? Every day Amazon engineers are relentlessly working to decrease the time between Click to Deliver for your products. The Amazon Fulfillment Technologies (AFT) team owns all of the software and infrastructure which powers Amazon's world-class fulfillment engine. Our team in the Seattle office is building complex, massive data systems to capture data during every step in the automated pipeline and use that data to proactively predict efficiency and cost improvements to deliver the packages fast to our customers. As an Amazon.com Big Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should be skilled in the architecture of DW solutions for the Enterprise using multiple platforms (RDBMS, Columnar, Cloud). You should have experience in the design, creation, management, and business use of extremely large data-sets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. Above all, you should be passionate about working with huge data sets and someone who loves to bring data-sets together to answer business questions and drive change. As a Big Data Engineer in this role, you will develop new data engineering patterns that leverage a new cloud architecture, and will extend or migrate our existing data pipelines to this architecture as needed. You will also be assisting with integrating the Redshift platform as our primary processing platform to create the curated Amazon.com data model for the enterprise to leverage. You will be part of a team that builds the next generation data warehouse platform and to drive the adoption of new technologies and new practices in existing implementations. You will be responsible for designing and implementing the complex ETL pipelines in data warehouse platform and other BI solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision-making at Amazon.com. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: <ul><li> Medical, Dental, and Vision Coverage</li><li> Maternity and Parental Leave Options</li><li> Paid Time Off (PTO)</li><li> 401(k) Plan </li></ul>If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! About The Team Amazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it. Central Support AFT’s Central Support team leverages data, process improvement, and innovative technologies to provide comprehensive engineering excellence services/solutions across AFT’s product portfolios. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA Basic Qualifications <ul><li> 3+ years of data engineering experience</li><li> Experience with data modeling, warehousing and building ETL pipelines </li></ul>Preferred Qualifications <ul><li> Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li> Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) </li></ul>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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,700/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. Company - Amazon.com Services LLC Job ID: A2575389

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