Description

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

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.

Company - ADCI - Karnataka

Job ID: A3128236

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