Amazon
Data Engineer II, Denied Party Screening
Amazon, Seattle, Washington, us, 98127
Data Engineer II, Denied Party Screening
Job ID: 2817422 | Amazon.com Services LLC 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 ad-hoc data requests. You will be exposed to cutting-edge AWS big data technologies. You should have excellent business and communication skills to work with business owners and tech leaders to gather infrastructure requirements, design data infrastructure, and build 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, and Business Intelligence Engineers to explore new data sources and deliver the data. BASIC QUALIFICATIONS
- 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 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) 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. Posted:
November 14, 2024 (Updated about 15 hours ago) Posted:
December 20, 2024 (Updated about 16 hours ago) Posted:
December 7, 2024 (Updated about 16 hours ago) Posted:
December 18, 2024 (Updated about 17 hours ago) Posted:
January 3, 2025 (Updated about 21 hours ago)
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Job ID: 2817422 | Amazon.com Services LLC 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 ad-hoc data requests. You will be exposed to cutting-edge AWS big data technologies. You should have excellent business and communication skills to work with business owners and tech leaders to gather infrastructure requirements, design data infrastructure, and build 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, and Business Intelligence Engineers to explore new data sources and deliver the data. BASIC QUALIFICATIONS
- 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 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) 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. Posted:
November 14, 2024 (Updated about 15 hours ago) Posted:
December 20, 2024 (Updated about 16 hours ago) Posted:
December 7, 2024 (Updated about 16 hours ago) Posted:
December 18, 2024 (Updated about 17 hours ago) Posted:
January 3, 2025 (Updated about 21 hours ago)
#J-18808-Ljbffr