Sr Data Engineer, Ads AI Core Services
Role details
Job location
Tech stack
Job description
We're looking for a Sr. Data Engineer who is passionate about data and the insights that large amounts of data can provide, experienced in designing and building data marts, and enjoys working with PB-scale data. The role will work with a team of business and tech savvy professionals (DEs, BIEs, SDEs, and PMs) to lay down scalable data architecture for ingesting large amounts of structured and unstructured datasets, building views that can be easily consumed by customers, and partnering with stakeholders to drive data-based business decisions.
The ideal candidate will possess both a data engineering background and a strong business acumen that enables him/her to think strategically. He/she will experience a wide range of problem solving situations, requiring extensive use of data collection and analysis techniques such as data mining and machine learning.
Key job responsibilities In this role, you will work with business leaders, engineers, and stakeholders across Ads, Sales, Finance, Marketing, and Service teams. You will:
- 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
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
Preferred Qualifications
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
Benefits & conditions
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, SEATTLE - 154,600.00 - 209,100.00 USD annually