DirectJobHub
Jobs · Analyst · Washington

Data Engineer, Denied Party Screening, AWS Compliance & Security Assurance

Amazon Web Services (AWS) · Seattle, WA · 2 days ago
AnalystFull-time

About the role

Amazon seeks an experienced Data Engineer to join the DPS (Deny Party Screening) team. Our mission is to prevent denied parties from transacting with Amazon businesses, including AWS, customers, vendors, sellers, subsidiaries, etc. We screen billions of events every day. We integrate with Tier 1 systems, build DPS systems, and deal with unique scaling challenges.

Responsibilities

  • Design, implement, and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests.
  • Stay abreast of emerging technologies, investigating and implementing where appropriate.
  • Develop and manage ETLs to source data from various financial, AWS networking and operational systems and create unified data model for analytics and reporting.
  • Create and support real-time data pipelines built on AWS technologies including EMR, Glue, Redshift/Spectrum and Athena.
  • Collaborate with other Engineering teams, Product/Finance Managers/Analysts to implement advanced analytics algorithms that exploit our rich datasets for financial model development, statistical analysis, prediction, etc.
  • Continually research the latest big data and visualization technologies to provide new capabilities and increase efficiency.
  • Use business intelligence and visualization software (e.g., QuickSight) to develop dashboards that are used by senior leadership.
  • Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.
  • Partner/collaborate across teams/roles to deliver results.
  • Mentor other engineers, influence positively team culture, and help grow the team.

Requirements

  • 5+ years of data engineering experience.
  • Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby.
  • Experience working on and delivering end to end projects independently.
  • Experience with big data technologies such as: Hadoop, Hive, Spark, EMR.

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).
  • Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
  • Experience with distributed systems as it pertains to data storage and computing.
  • Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets.
  • Experience providing technical leadership and mentoring other engineers for best practices on data engineering.

Skills

Key technical skills required include programming with at least one modern language, experience with big data technologies, and experience with AWS technologies.

Benefits

Includes sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Comprehensive benefits include medical, dental, vision, prescription, life insurance, AD&D insurance, EAP, mental health support, and more. Learn more about our benefits at https://amazon.jobs/en/benefits.

Similar jobs