Data Engineer II Denied Party Screening
Data Engineer II Denied Party Screening
Posted on :
09-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 118900 - 205600
Vacancy
1 Vacancy
Posted on :
09-04-2025
Job Description
Amazon seeks an experienced Data Engineer to join the DPS (Deny Party Screening) team. Our mission is to prevent denied party 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.
As a Data Engineer You will 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 adhoc data requests. You will be exposed to cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements design data infrastructure build up data pipelines and datasets to meet business needs. You stay abreast of emerging technologies investigating and implementing where appropriate.
Your major responsibilities will include
Interface with other technology teams to extract transform and load data from a wide variety of data sources using SQL and AWS big data technologies.
Explore and learn the latest AWS technologies to provide new capabilities and increase efficiencies.
Designing and implementing complex ELT pipelines and other BI solutions.
Work closely with business owners developers Business Intelligence Engineer to explore new data sources and deliver the data.
About the team
About AmSec:
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why Amazon Security
At Amazon security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazons products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud devices retail entertainment healthcare operations and physical stores.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
Inclusive Team Culture
In Amazon Security its in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas perspectives and voices.
Training and Career growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing training and other careeradvancing resources here to help you develop into a betterrounded professional.
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily 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.
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 $118900/year in our lowest geographic market up to $205600/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.
As a Data Engineer You will 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 adhoc data requests. You will be exposed to cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements design data infrastructure build up data pipelines and datasets to meet business needs. You stay abreast of emerging technologies investigating and implementing where appropriate.
Your major responsibilities will include
Interface with other technology teams to extract transform and load data from a wide variety of data sources using SQL and AWS big data technologies.
Explore and learn the latest AWS technologies to provide new capabilities and increase efficiencies.
Designing and implementing complex ELT pipelines and other BI solutions.
Work closely with business owners developers Business Intelligence Engineer to explore new data sources and deliver the data.
About the team
About AmSec:
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why Amazon Security
At Amazon security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazons products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud devices retail entertainment healthcare operations and physical stores.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
Inclusive Team Culture
In Amazon Security its in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas perspectives and voices.
Training and Career growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing training and other careeradvancing resources here to help you develop into a betterrounded professional.
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily 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.
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 $118900/year in our lowest geographic market up to $205600/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.
Employment Type
Full-Time
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