About This Role
This Data Engineer role focuses on building and optimizing data solutions for Amazon's Advertising business, specifically within the AIGC DIGI team. The position involves re-envisioning data architecture for various ads businesses, working hands-on to deliver end-to-end data solutions, and ensuring data scalability, stability, and accuracy. It suits a motivated data engineer with strong database, analytical skills, and big data technology experience.
Responsibilities
- Understand unique business needs, review existing tech stack and data landscape, design/re-design, implement and build an analytical data infrastructure for multiple ads businesses
- Influence upstream and partner data teams to ensure reliable data solutions for the team
- Manage AWS resources including EC2, EMR, S3, Glue, Redshift, etc.
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
- Explore, learn and adopt the latest AWS technologies to provide new capabilities and increase efficiency
- Collaborate with and support Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
- Work with stakeholders to understand the business questions and define requirements and build out scalable data solutions
- Support continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
Requirements
- 3+ years of data engineering experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
- 3+ years of in the job offered or a related occupation experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using each of the following: ETL (Extract, Transform, Load)/ELT (Extract, Load, Transform) processes experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
- Experience with data modeling, warehousing and building ETL pipelines
Nice to have: