Data Engineer, Ad Finance, Display Finance BIAmazon is looking for a motivated individual with strong database, analytical skills and technology experience to join the Display Ads Finance team.
Key Job ResponsibilitiesOwning the design, operations and improvements for the Organizations Datawarehouse infrastructureMaintain, improve and manage all ETL pipelines and clustersExplore and learn the latest AWS technologies to provide new capabilities and increase efficiencyDefine metrics and KPIs to measure success of strategic initiatives and report on their progressDevelop relationships and processes with finance, sales, business operations, solution delivery team, partner, BD, and other cross-functional stakeholdersHelp 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. A Day in the LifeIn 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.
About the TeamThe candidate should enjoy creating pipelines, analyzing data, recommending and implementing solutions to facilitate financial and metrics reporting.
Plan, design, implement, and manage a deployment of self-service data platform & visualization in QuicksightCreate and maintain ETL procedures and SQL queries to bring data in from data warehouse and alternate data sourcesUtilize database technologies, including Redshift, AWS EMR and Quicksight to design, develop, and evaluate analyses and highly innovative business intelligence tools and reportingScripting language such as Python preferredEstablish scalable, efficient, automated processes for large scale data analysesSupport the development of performance dashboards that encompass key metrics to be reviewed with senior leadership and sales managementWork with business owners and partners to build data sets that answer their specific business questionsSupport Financial Analysts, Sales Operations Leads and beyond in analyzing usage data to derive new insights and fuel customer success BASIC QUALIFICATIONS3+ years of data engineering experienceExperience with data modeling, warehousing and building ETL pipelinesExperience with SQL PREFERRED QUALIFICATIONSExperience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissionsExperience 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 this link for more information.
If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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.
#J-18808-Ljbffr