Data Engineer III Buyer Fraud

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 the safest place to shop online. The Payments Risk team safeguards the order pipelines; monitoring tracking and managing risk to ensure longterm buyer satisfaction. The Payments Risk group designs and builds the software systems risk models and operational processes that minimize risk and maximize trust in . 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.

is seeking a Data Engineer to join the Payments Risk Analytics team. has culture of datadriven decisionmaking and demands business intelligence that is timely accurate and actionable. If you join the Payments Risk team your work will have an immediate influence on daytoday decision making at 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 help us drive advanced analytics 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 selfstarter who is able to think big and work in a fastpaced and everchanging environment. You will build sustainable and scalable analytics processes and data systems that can be leveraged across Payments Risk.

As a Data Engineer on the Analytics team youll 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 recent advances in distributed systems (i.e. MapReduce noSQL databases). 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. Youre up to the challenge of realtime notification strategies latency TPS and building an endtoend 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 colleagues career growth improving their technical knowledge and defining your teams operational metrics.



Key job responsibilities
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 help us drive advanced analytics 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 selfstarter who is able to think big and work in a fastpaced and everchanging environment. You will build sustainable and scalable analytics processes and data systems that can be leveraged across Payments Risk.

As a Data Engineer on the Analytics team youll 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 recent advances in distributed systems (i.e. MapReduce noSQL databases). 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. Youre up to the challenge of realtime notification strategies latency TPS and building an endtoend 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 colleagues career growth improving their technical knowledge and defining your teams operational metrics.

CORE RESPONSIBILITIES:

Contribute to the architecture design and implementation of next generation BI solutions including streaming data applications.
Manage AWS resources including EC2 RDS Redshift Kinesis EMR Lambda etc.
Collaborate with data scientists BIEs and BAs 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 selfservice support for customers



BASIC QUALIFICATIONS

Bachelors degree in computer science engineering mathematics or a related technical discipline
Industry experience in software development data engineering business intelligence data science or related field with a track record of manipulating processing and extracting value from large datasets
Experience using big data technologies (Hadoop Hive Hbase Spark EMR etc.
Experience working with AWS big data technologies (EMR Redshift S3 AWS Glue Kinesis and Lambda for Serverless ETL)
Knowledge of data management fundamentals and data storage principles
Knowledge of distributed systems as it pertains to data storage and computing
Handson experience and advanced knowledge of SQL
Basic scripting skills using Python and Scala
Basic understanding of Machine Learning


PREFERRED QUALIFICATIONS

5 years of experience as a Data Engineer BI Engineer Business/Financial Analyst or Systems Analyst in a company with large complex data sources.
Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets
Demonstrated strength in data modeling ETL development and data warehousing
Experience using business intelligence reporting tools (Quicksight Tableau etc.
Proven success in communicating with users other technical teams and senior management to collect requirements describe data modeling decisions and data engineering strategy
Experience providing technical leadership and mentoring other engineers for best practices on data engineering
Knowledge of software engineering best practices across the development lifecycle including agile methodologies coding standards code reviews source management build processes testing and operations
Mindset and analytical skills to towards continuous improvement and have an edge to always research on latest technologies
Passion for building great notification experiences which directly impacts our customers

5 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Experience mentoring team members on best practices

5 years of data engineering database engineering business intelligence or business analytics experience

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139100/year in our lowest geographic market up to $240500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.