Data Engineer II, SPIV Data Engineering

Amazon

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profile Job Location:

Seattle, OR - USA

profile Monthly Salary: Not Disclosed
Posted on: 8 hours ago
Vacancies: 1 Vacancy

Department:

Data Engineering

Job Summary

Selling Partner Identity Verification is working to identify and prevent fraudulent behavior through all stages of a sellers lifecycle. We are seeking an experienced and highly skilled Data Engineer to join our team and help us build and manage the Data for the data domains within the Selling Partner Identity Verification space. As a Data Engineer you will play a crucial role in designing implementing and maintaining our data infrastructure and pipelines. You will work closely with cross-functional teams to deliver scalable and efficient data solutions that drive business value.

Key job responsibilities
You will lead the design and implementation of data pipelines to support the analytical and operational needs of Selling Partner Identity Verification.

You will design and develop scalable high-performance data systems using modern data platforms and technologies.

You are expected to collaborate with data scientists analysts and business stakeholders to understand data requirements and implement appropriate solutions.

Optimize data storage and retrieval systems for improved performance and cost-effectiveness.

Implement data quality checks and monitoring systems to ensure data integrity and reliability.

Mentor junior engineers and provide technical leadership on data engineering best practices and methodologies.

Evaluate and recommend new technologies and tools to enhance our data infrastructure capabilities.

Contribute to the development of data governance policies and procedures.

Troubleshoot and resolve complex data-related issues in production environments.

About the team
Selling Partner Identity Verification tracks the lifecycle of the Seller looking for fraudulent behavior and leading indicators starting when they register as a seller then on to identifying how their accounts interact with others when they make changes or the account status changes and through to these account interactions with inventory. We focus on expanding our capabilities to other areas - first with vendors and supporting all teams with central services.

- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL

- 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 an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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 youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 132100.00 - 178800.00 USD annually


Required Experience:

IC

Selling Partner Identity Verification is working to identify and prevent fraudulent behavior through all stages of a sellers lifecycle. We are seeking an experienced and highly skilled Data Engineer to join our team and help us build and manage the Data for the data domains within the Selling Partne...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

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