Data Engineer, Ads Finance, Ad Sales Analytics, Amazon Ads Sales Analytics (DIGI

Job Overview
Amazon is looking for a motivated individual with strong database, analytical skills and technology experience to join the DIGI (Ad Sales Finance analytics) team. In this position, the successful candidate will partner with Finance and Business leaders to expand and optimize data infrastructure that supports weekly, monthly, quarterly and annual reporting for the Display Ads Finance group and our stakeholders.

Key Job Responsibilities

Owning the design, operations and improvements for the Organization's Datawarehouse infrastructure

Maintain, improve and manage all ETL pipelines and clusters

Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency

Define metrics and KPIs to measure success of strategic initiatives and report on their progress

Develop relationships and processes with finance, sales, business operations, solution delivery team, partner, BD, and other cross‑functional stakeholders

Help continually improve ongoing reporting and analysis processes, automating or simplifying self‑service support for customers

Collaborate with data scientists, BIEs and BAs to deliver high quality data architecture and pipelines

Design extensible metrics schemas that support complex analytical queries while optimizing for AI retrieval patterns

A Day in the Life
Partner with Finance and Business leaders to expand and optimize data infrastructure that supports weekly, monthly, quarterly and annual reporting for the Display Ads Finance group and our stakeholders. Work on building GenAI capabilities and a GenAI‑ready data layer for automating insights generation and solving analytical problems across the Ad Sales Finance org.

About the Team
The Advertising Sales Finance Analytics & FP&A team is responsible for corporate reporting, planning, Headcount & OpEx, Goals reporting, and ad‑hoc analysis. We support Advertising leaders and finance teams by coordinating and consolidating deliverables, centralizing and standardizing processes, establishing financial controls and mechanisms, building tools that improve the speed of decision making, and providing insightful financial analysis on the short and long term strategy of Advertising.

Basic Qualifications

5+ years of data engineering experience

Experience with data modeling, warehousing and building ETL pipelines

Knowledge of distributed systems as it pertains to data storage and computing

Experience in ETL management/data pipeline

Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

5+ years of SQL experience

Preferred Qualifications

Experience with non‑relational databases / data stores (object storage, document or key‑value stores, graph databases, column‑family databases)

Knowledge of cloud computing services or deployment architecture

Experience building data pipelines or automated ETL processes

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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Posted: August 14, 2024 (Updated 21 days ago)

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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In Summary: The Advertising Sales Finance Analytics & FP&A team is responsible for corporate reporting, planning, Headcount & OpEx, Goals reporting, and ad‑hoc analysis . The successful candidate will partner with Finance and Business leaders to expand and optimize data infrastructure that supports weekly, monthly, quarterly and annual reporting .

En Español: Amazon está buscando una persona motivada con bases de datos sólidas, habilidades analíticas y experiencia tecnológica para unirse al equipo DIGI (análisis de finanzas publicitarias). En este puesto, el candidato exitoso se asociará con líderes de Finanzas y Empresas para expandir y optimizar la infraestructura de datos que admita los informes semanales, mensuales, trimestrales e anuales del grupo Display Ads Finance y nuestras partes interesadas. Responsabilidades Clave de trabajo Poseer el diseño, las operaciones y mejoras de la infraestrutura de Datawarehouse de la Organización Mantener, mejorar y gestionar todas las tuberías y grupos ETL Explorar y aprender las últimas tecnologías de AWS para proporcionar nuevas capacidades y aumentar la eficiencia Definición de métricas y KPI para medir el éxito de iniciativas estratégicas e informar sobre su progreso Desarrollar relaciones y procesos con finanzas, ventas, operaciones comerciales, patrones de entrega de soluciones, socios, BD y otros actores interesados funcionales Mejorar continuamente los procesos de reporte y análisis en curso Automatizar o simplificar el soporte al auto-servicio para colaborar con los científicos de BEs y equipos de conocimientos básicos para obtener una arquitectura de datos de alta calidad y ayudar a los clientes a optimizar sus sistemas de gestión de cuotables y servicios financieros, así como apoyar cada mes a los responsables de nuestros programas de negocio y proyectos A& Trabajamos en la construcción de capacidades GenAI y una capa de datos genai-ready para automatizar la generación de información y resolver problemas analíticos a través de Ad Sales Finance org. Sobre el Equipo El equipo Advertising Sales Finance Analytics & FP&A es responsable del informe corporativo, planificación, Headcount & OpEx, informes sobre objetivos y análisis ad hoc. Apoyamos a los líderes publicitarios y equipos financieros coordinando y consolidando las entregas, centralizando y estandarizando procesos, estableciendo controles y mecanismos financieros, construyendo herramientas que mejoran la velocidad de toma de decisiones y proporcionando un análisis financiero comprensivo sobre la estrategia corta y larga de Publicidad. Si usted tiene una discapacidad y necesita un alojamiento o ajuste en el lugar de trabajo durante el proceso de solicitud y contratación, incluido el apoyo para la entrevista o el proceso onboarding, por favor visite https://amazon.jobs/content/en/how-we-hire/accommodations para obtener más información.