Data Engineer III, Partner Experience and Growth
5 days ago
Company Overview
Amazon Worldwide Advertising is one of Amazon's fastest growing and most profitable businesses. Our Partner Experience and Growth (PEG) organization leverages advanced analytics and experimentation to unlock value for our advertising partners and mutual customers.
We are seeking a skilled Data Engineer to join our team. The successful candidate will provide technical leadership, lead data engineering initiatives, and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective.
About the Team
The Data Engineering team focuses on helping other partner business teams to be more data-driven. We synthesize data from various sources into actionable information, help the team to build insights and take business decisions.
Job Description
This is an exciting opportunity to work with a talented team and contribute to the success of Amazon Worldwide Advertising. You will design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science. Additionally, you will implement data ingestion routines using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools.
Key Responsibilities:
- Data Modeling: Design and implement efficient data models to support business requirements.
- Data Ingestion: Implement data ingestion routines using AWS technologies and big data tools.
- Collaboration: Collaborate with engineers and scientists to create fast and efficient algorithms that exploit rich data sets for optimization, statistical analysis, prediction, clustering, and machine learning.
- Process Improvement: Continuously improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.
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
- 7+ years of data engineering, database engineering, business intelligence or business analytics experience
- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
Salary Range: $139,100/year - $240,500/year based on location and experience.
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