Data Engineering Manager, Retail Business Service
Job summary: Retail Business Services (RBS) supports Amazon’s Retail business growth worldwide through three core tasks. These are (a) Selection, where RBS sources, creates and enriches ASINs to drive GMS growth; (b) Defect Elimination, where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow; and (c) supporting operational processes for worldwide Retail teams.
Our team of high caliber software developers, applied scientists, data engineers, product managers and Business Intelligence Engineers use rigorous machine learning and deep learning approaches to identify and fix the right catalog defect to ensure a good shopping experience for our customers.
As a Data Engineer, you will own and deliver data engineering initiatives, building end‑to‑end analytical solutions that are highly available, scalable, stable, secure, and cost‑effective. You strive for simplicity, creativity, sound judgement, and deliver customer‑focused data solutions that create business impact. You are passionate about working with huge datasets and have experience with data organization and curation for analytics, with a strategic long‑term view on architecting advanced data ecosystems. You are experienced in building efficient, scalable data services and can integrate data systems with AWS tools and services to support a variety of customer use cases.
In this role, you have the opportunity to:
* Implement data ingestion routines in real‑time and batch using best practices in data modeling, ETL/ELT processes, leveraging AWS technologies and big data tools.
* Design, implement, and operate large‑scale, high‑volume, high‑performance data pipelines for analysis and data science.
* Gather business and functional requirements and translate into robust, scalable, operable solutions with flexible and adaptable architecture.
* Help continually improve reporting and analysis processes, automating or simplifying self‑service modeling and production support for customers.
Key Job Responsibilities
* Delivery of robust, scalable data solutions supporting RBS Operations data infrastructure.
* Enhancement of real‑time analytics capabilities serving RBS Operations leaders.
* Leadership in data governance, quality standards, and responsible AI practices across the organization.
* Implementation of GenAI solutions for automated reporting, diagnostic, predictive & prescriptive analytics.
* Own technical delivery and team leadership for development and maintenance of scalable ETL/big data pipelines, semantic layers, and dashboard data models.
* Collaborate with Program Managers, BI teams, and stakeholders to prioritize work aligned with RBS business goals.
* Establish best practices for data engineering, including code reviews, testing, monitoring, and documentation.
* Drive team growth through mentoring, coaching, and career development.
* Partner with the GenAI platform team to align data governance, schema standardization, and data contracts where applicable.
Preferred Qualifications
* Experience with big data technologies such as Hadoop, Hive, Spark, EMR.
* Experience with AWS tools and technologies (Redshift, S3, EC2).
Basic Qualifications
* 5+ years of data engineering experience.
* Experience with data modeling, warehousing, and building ETL pipelines.
* Experience with SQL.
* Experience managing a data or BI team.
* Experience leading and influencing the data or BI strategy of your team or organization.
* Experience in at least one modern scripting or programming language (Python, Java, Scala, or NodeJS).
* Experience hiring, developing, and promoting engineering talent.
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 https://amazon.jobs/content/en/how-we-hire/accommodations.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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