Sr Data Engineer, Ads AI Core Services

Amazon • Seattle, WA

1d • Onsite

About The Position

Amazon is heavily investing in building a world-class advertising business, responsible for defining and delivering self-service performance advertising products that drive discovery and sales. These products are strategically important to the Retail and Marketplace businesses, driving long-term growth by delivering billions of ad impressions and millions of clicks daily. The Ads AI Core infrastructure team develops core services to support Ads agents' needs for Advertiser Registration and Access Management, Ad Catalog Service, Billing, Data Ingestion/Publishing, and Analytics, underpinning advertising programs like Sponsored Products and Sponsored Brands. This role involves collaborating with numerous teams across WW Advertising to drive key initiatives for improving the resilience of advertising systems. The company is seeking a Sr. Data Engineer passionate about data and the insights large datasets can provide, experienced in designing and building data marts, and comfortable working with PB-scale data. This individual will work with a team of business and tech-savvy professionals (DEs, BIEs, SDEs, and PMs) to establish scalable data architecture for ingesting vast amounts of structured and unstructured datasets, creating easily consumable views for customers, and partnering with stakeholders to drive data-based business decisions. The ideal candidate will possess both a data engineering background and strong business acumen for strategic thinking, and will encounter a wide range of problem-solving situations requiring extensive use of data collection and analysis techniques such as data mining and machine learning.

Requirements

• 5+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Experience mentoring team members on best practices

Nice To Haves

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience operating large data warehouses

Responsibilities

• Develop and improve the current data architecture using AWS Redshift, AWS S3, AWS Aurora (Postgres) and Hadoop/EMR
• Improve upon the data ingestion models, ETL jobs, and alarming to maintain data integrity and data availability
• Stay up-to-date with advances in data persistence and big data technologies and run pilots to design the data architecture to scale with the increased datasets of advertiser experience
• Partner with stakeholders to build and verify hypothesis to improve business performance
• Manage and support business critical reports and reporting tools to monitor KPIs

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed