Amazon · 2 days ago
Data Engineer, Denied Party Screening, AWS Compliance & Security Assurance
Amazon is seeking an experienced Data Engineer to join the Denied Party Screening team. The role involves designing and implementing scalable data infrastructure solutions to integrate with various data sources, supporting advanced analytics and reporting needs.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Design, implement, and support data warehouse/ data lake infrastructure using AWS bigdata stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark, Athena etc
Develop and manage ETLs to source data from various financial, AWS networking and operational systems and create unified data model for analytics and reporting
Creation and support of 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
Continual research of 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 those 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
Working closely with team members to drive real-time model implementations for monitoring and alerting of risk systems
Manage numerous requests concurrently and strategically, prioritizing when necessary
Partner/collaborate across teams/roles to deliver results
Mentor other engineers, influence positively team culture, and help grow the team
Qualification
Required
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
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
Benefits
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
Parental leave
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
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