Data Engineer, Amazon Ads Sales Analytics (DIGI)

Amazon Inc.; Asti; Ibrido; EUR 55.000 - 75.000; Tempo pieno

Descrizione del lavoro

Amazon is seeking a motivated Data Engineer to join the DIGI Ad Sales Finance analytics team in Italy. You will partner with Finance and Business leaders to expand and optimize data infrastructure supporting weekly to annual reporting for Display Ads Finance.

The role focuses on building scalable ETL pipelines, data warehousing, and GenAI-ready data layers to automate insights. Collaboration with data scientists and cross-functional teams is essential.

Competenze

• 3+ years of data engineering experience.
• 4+ years of SQL experience.
• Experience with data modeling, warehousing and ETL pipelines.

Mansioni

• Own the design, operations and improvements for the data warehouse 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.

Conoscenze

Data engineering

SQL

ETL pipelines

Data modeling

Warehousing

Strumenti

Redshift

S3

AWS Glue

EMR

Kinesis

Firehose

Lambda

IAM

Descrizione del lavoro

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 be responsible for partnering with Finance and Business leaders to expand and optimize data infrastructure that supports weekly, monthly, quarterly and annual for the Display Ads Finance group and our stakeholders.

Key job responsibilities

• Owning the design, operations and improvements for the Organizations 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

In this position the successful candidate will be responsible for partnering with Finance and Business leaders to expand and optimize data infrastructure that supports weekly, monthly, quarterly and annual for the Display Ads Finance group and our stakeholders. They will work on building GenAI capabilities and 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's responsibilities comprise of 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

• 3+ years of data engineering experience
• 4+ years of SQL experience
• Experience with data modeling, warehousing and building ETL pipelines

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)

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.