Sr. Data Engineer Ads Technology, ADSP Analytics

Job ID: 2826662 | Amazon.com Services LLC Amazon Advertising seeks the world’s brightest and best leaders to drive next-generation solutions that enable advertisers to reach customers across our owned and operated sites, on other high-quality publisher sites across the web, and on millions of desktops, mobile, and connected TV devices. Our mission is to offer the world’s most customer-centric advertising. Amazon DSP (ADSP) is our programmatic advertising product for campaigns spanning Display, Video, and Audio across Amazon properties (e.g., Amazon.com, IMDb TV, Twitch, Fire TV, and Amazon Music) and tens of thousands of third-party (3P) websites and apps. We are seeking a Senior Data Engineer who wants to join a team focused on building large-scale systems that integrate across multiple sources to provide unique advertising products. These products give advertisers the controls and data necessary to improve the relevancy and performance of their ads. We are hiring a Senior Data Engineer to help us accelerate our efforts in delighting our Advertising customers. We consider our Data Engineers owners of the data to which they can propose, own, and then deliver on new product ideas. We expect this person to build new data platform solutions as an owner end-to-end. The ideal candidate will be passionate about working with big data sets and have the expertise to utilize these datasets to answer business questions and drive growth. Key job responsibilities

Architect a scalable, reliable, and high-performing data processing pipeline on AWS. Leverage AWS services like EMR, Glue, Kinesis, S3, and Managed Airflow to build the data infrastructure. Ensure the platform can efficiently handle the ingest, processing, and storage of massive data volumes. Highly proficient in writing code in SQL and Python. Develop optimized ETL/ELT pipelines to transform raw data into analytical datasets. Implement data partitioning, bucketing, and indexing strategies to enable high-performance queries. Work closely with data scientists, software engineers, product managers, and BIEs. Stay updated with the latest AWS services and data engineering best practices. BASIC QUALIFICATIONS

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 PREFERRED QUALIFICATIONS

Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience operating large data warehouses 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. Posted:

November 12, 2024

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