Data Engineer, Data Engineer, Buyer Fraud

DESCRIPTION

Have you ever thought about what it takes to detect and prevent fraudulent purchases among hundreds of millions of ecommerce transactions in six countries? What would you do to create a trusted marketplace where millions of buyers and sellers can safely transact online? What kinds of processes and systems would you build to maximize customer satisfaction?

Our mission in Payments Risk is to make Amazon.com the safest place to shop online. The Payments Risk team safeguards the order pipelines; monitoring, tracking, and managing risk to ensure long-term buyer satisfaction.

The Payments Risk group designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com. In addition to this, we evaluate new business opportunities from across the company to determine how we can minimize the risk associated with these launches.

Amazon.com is seeking an outstanding Data Engineer to join the Payments Risk Data Engineering (DE) team. Amazon.com has culture of data-driven decision-making, and demands business intelligence that is timely, accurate, and actionable. If you join the Amazon.com Payments Risk DE team, your work will have an immediate influence on day-to-day decision making at Amazon.com and drive the adoption of new Business Intelligence technologies.

Are you passionate about turning large amounts of information into knowledge? Are you passionate about building and leading data teams?

Can you architect large data systems? Can you work with business partners and across technical teams?

A key responsibility of this role is to build large data systems that support Large Language Model (LLM)-based services for Payments Risk. A successful candidate will be uncompromisingly detail oriented, efficient, and customer obsessed.

Your work must be accurate, timely, and insightful. You must be a self-starter who is able to think big and work in a fast-paced and ever-changing environment. You will build sustainable and scalable analytics processes, and data systems that can be leveraged across Payments Risk.

As a Data Engineer on our DE team, you'll have huge impact on how customers engage with Amazon through building infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, and distributed systems. You will work with passionate scientists, business intelligence engineers, software development engineers and product managers, to deliver a variety of stable and performant data feeds used for developing business insights as well as offline machine learning use cases.

We love to work with smart people who have a strong sense of ownership and strong engineering mindset. You are a technical leader for your team and a great mentor.

You provide perspective and context for technology choices. You're up to the challenge of real-time notification strategies, latency, TPS and building an end-to-end platform that internal Amazon teams integrate with. You motivate your team to pursue ambiguous situations and rapidly produce prototypes for a more personalized experience.

You outline paths from prototype to product. You deeply invest in each colleague's career growth, improving their technical knowledge, and defining your team's operational metrics.

Key job responsibilities

• Contribute to the architecture, design and implementation of large data pipelines to support LLM initiatives.

• Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc.

• Collaborate with data scientists and SDEs to deliver high quality data architecture and pipelines.

• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources

• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

A day in the life

As a Data Engineer, you work with our stakeholders which includes Product/Program Managers, BA/BIE's, ML scientists and Investigators. You help build efficient data models and pipelines, build monitoring around data quality and freshness, and timely deep dive to resolve data quality issues. You will be the SME for any data related questions for all our stakeholders.

About the team

We are team of 11 (9 Engineers and 2 Managers) supporting Buyer Risk Prevention org business with their day to day data need to prevent/stop any fraudulent activities. We have team located in US and India supporting our stakeholders.

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

BASIC QUALIFICATIONS

• 3+ years of data engineering experience

• Experience with data modeling, warehousing and building ETL pipelines

• Experience with SQL

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)

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 $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.