Company

Amazon.com Services LlcSee more

addressAddressSeattle, WA
type Form of workFull-time
salary SalaryFrom $105,700 a year
CategoryInformation Technology

Job description

  • 5+ years of Data Engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with SQL
  • Bachelor's degree
Fuse is a horizontal, integrated marketing channel enabling Amazon services to acquire and engage incremental customers through distribution partnerships. We expand Amazon’s reach by providing access to large bases of incremental customers via integration into Mobile Operator (MO) and Multichannel Video Programming Distributor (MVPD) service plans (prepaid, postpaid, broadband, converged) and associated partner marketing (TV, digital O&O, physical retail).
The Fuse Data Analytics team is looking for an experienced and motivated Data Engineer (DE) who is passionate about using data to drive crucial business decisions regarding our digital subscriptions. This role will focus on building world class processes around designing, collecting, organizing and presenting data to analyze traffic, understand customer behavior, feature performance and marketing efforts from business partnerships. As a Data Engineer working on the analytics platform, you will develop and support analytic capabilities to give flexible and structured access to data that is timely, accurate and actionable.
Responsibilities
  • Develop and maintain data sets to measure the performance of the program. This will include building metrics for High Value Actions, engagement, acquisition and landscape.
  • Build, maintain and optimize scalable self-service solutions that empower stakeholders to address their data needs.
  • Liaising with technology teams across Amazon to influence data model designs and data sharing. This may include writing papers to influence executive decisions.
  • Assist business stakeholders in creating and implementing business requirement documents to drive projects, working backward from customer needs.
  • Implement standardized, automated operational and quality control processes for difficult datasets to deliver accurate and timely data and reporting to meet or exceed SLAs
  • Communicate timely information to all stakeholders on current and future initiatives, prioritizing based on the organization’s needs
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
  • 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)
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.

Benefits

Health insurance
Refer code: 9314536. Amazon.com Services Llc - The previous day - 2024-05-26 07:45

Amazon.com Services Llc

Seattle, WA
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