Amazon Senior Data Engineer Payments Security 

United States, Washington, Seattle 

264232048

This position will provide you with a challenging and rewarding opportunity to enable the Payments Security organization solve difficult security problems at planetary scale. As a Senior Data Engineer, you will own designing, implementing, and maintaining data systems that drive strategic decision-making and business intelligence for Payments Security as well as Amazon Payments organizations. Your expertise will be instrumental in shaping the Data Insights program in Payments Security, ensuring that it is scalable, efficient, and aligned with both short-term needs and long-term business goals. You will bring your proven expertise in designing and implementing enterprise-scale data solutions using AWS cloud services, creating efficient data pipelines and ETL processes, and developing robust data warehousing and modeling strategies. You will lead the definition and adoption of data governance and quality practices, collaborate with cross-functional teams to translate business requirements into technical solutions, and create meaningful data visualizations for stakeholders. You will be responsible for mentoring junior engineers, solving complex data engineering challenges, and contributing to the organization's data-driven culture by enabling informed decision-making at all levels of the business. You are well-known for your excellent prioritization skills as well as your ability to communicate at all levels of an organization (technical and non-technical).Key job responsibilities
- Develop the strategy and operational model for the Data Insights program in Payments Security.- Define program KPIs, regular reporting mechanisms, as well as maintaining program health.
- Establish data governance, quality practices, and data optimization mechanisms.
- Develop data pipelines and ETL processes, data warehousing and modeling, system integration and cross-platform solutions.- Lead new, reoccurring, or ah-hoc data engineering initiatives with end-to-end ownership. Participate in escalations

- 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

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
- Proven experience in GenAI, Machine Learning, Advanced Statistics and Math