Amazon Sr Data Engineer Amazon Business Advertising 

United States, New York, New York 

359387309

In this role, you will envision, design, and develop data solutions to scale AB Ads data. You will define and implement a global data strategy to create a data infrastructure as a tail-wind to help the AB Ads business grow even faster. You will be responsible for designing and implementing scalable data/ETL pipelines leveraging big data technologies and modern BI products to effectively meet the rapidly growing and dynamic demands of rich data. You will help the organization move towards a data-as-a-service model to improve influence on day-to-day business decisions. You will influence and guide other data engineers, business intelligence engineers, tech team members, and leaders to make informed data decisions. Come join us and lead B2B Ads innovation at Amazon!Key job responsibilities* Design, implement, and support data warehouse infrastructure using Apache ecosystem technologies (e.g., Hadoop, Spark, Hive) and AWS services (e.g., Redshift, EMR, Glue).
* Create and optimize ETL processes to extract data from various operational systems and create a unified dimensional or star schema data model for analytics and reporting.
* Implement real-time data streaming solutions using technologies like Apache Kafka or AWS Kinesis.
* Develop a deep understanding of our vast data sources and know exactly how, when, and which data to use to solve particular business problems.
* Design and implement data quality checks and data governance processes to ensure data integrity and compliance.
* Support the development of performance dashboards that encompass key metrics to be reviewed with senior leadership and sales management.* Manage numerous requests concurrently and strategically, prioritizing when necessary.
* Stay up-to-date with the latest trends and technologies in big data and data engineering, proposing and implementing innovative solutions to improve data processing and analysis capabilities.* Mentor junior data engineers and contribute to the team's knowledge sharing and best practices.

- 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
- AWS certifications (e.g., AWS Certified Data Analytics - Specialty) are a plus.

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