Amazon Data Engineer III Buyer Fraud 

United States, Washington, Seattle 

7812943

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 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.
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 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.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.
BASIC QUALIFICATIONSBachelor's degree in computer science, engineering, mathematics, or a related technical disciplineExperience 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
Hands-on experience and advanced knowledge of SQL
Basic scripting skills using Python and Scala
Basic understanding of Machine Learning
PREFERRED QUALIFICATIONS5+ 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 warehousingProven 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

- 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