Data Engineer Manager

Seattle, Washington, USA

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Job summary
Amazon’s Product Assurance team is focused on ensuring the products we sell on our platform satisfy all applicable safety and regulatory requirements. We are seeking a Sr. Data Engineer to help us build next generation Big Data Eco system supporting Product Assurance initiatives.
As a Data Engineer Manager, you will provide technical leadership, lead data engineering initiatives and build end-to-end data solutions that are highly available, scalable, stable, secure, and cost-effective. You strive for simplicity, demonstrate creativity and sound judgement. You deliver data solutions that are customer focused, easy to consume and create business impact. You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long term view on architecting advanced data eco systems. You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications.
In this role, you have the opportunity to:

Responsibilities
· Lead a team of Data Engineers to deliver cross-functional, data engineering projects for Product Assurance, risk and Security team ta Amazon
· Establish and clearly communicate organizational vision, goals and success measures.
· Collaborate with global business stakeholders to develop roadmap and product requirements.
· Build, Own, Prioritize, Lead and Deliver a roadmap of large and complex multi-functional projects and programs.
· Manage AWS resources such as EC2, RDS, Redshift, Kinesis, EMR, Lambda etc.
· Collaborate with BIEs and BAs to deliver high quality data architecture and pipelines.
· Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.
· Own the design, development, and maintenance of metrics, reports, analyses, dashboards, etc. to drive key business decisions.

Basic Qualifications


· 5+ years of experience as a Data Engineer or in a similar role
· Experience managing a data or BI team
· Experience with data modeling, data warehousing, and building ETL pipelines
· Experience leading and influencing the data strategy of your team or organization
· Experience in SQL


Preferred Qualifications

· · A Master's degree or foreign equivalent in Computer Science, Engineering, Statistics, Mathematics or related field

· 7+ years of relevant engineering experience
· 3+ years of people management experience, managing engineers
· Experience forming teams and recruiting engineers
· Experience building data products incrementally and integrating and managing datasets from multiple sources
· Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
· Experience in data modeling and data driven decision making using statistical software (R, SAS, SPSS, Python)
· Demonstrated industry leadership in the fields of database/data warehousing or big data processing





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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Tags: Agile AWS Big Data Computer Science Data strategy Data Warehousing EC2 Engineering ETL Kinesis Lambda Mathematics Pipelines Python R Redshift SAS Security SQL Statistics Testing

Region: North America
Country: United States
Job stats:  0  0  0

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