Amazon Data Engineer DSP Analytics 

United States, Washington, Bellevue 

693095040

You will develop new engineering patterns that leverage new cloud architectures, and will extend or migrate existing pipelines to the architectures as needed. You will be responsible for designing and implementing the complex pipelines in data platform and other BI solutions to support the rapidly growing and dynamic business demand, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making at Amazon.com
Key job responsibilities
* Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal Amazon tools.
* Improve existing solutions and come up with next generation Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security.
* Develop new data models and end to data pipelines.
* Lead design reviews for other Data Engineers on the team and actively participate in design reviews of related tech products.
* Provide technical and thought leadership for Data Engineering and Business Intelligence within the org.
* Create and implement Data Governance processes for mitigating privacy and security risks.

- 5+ years of data engineering experience
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data modeling, warehousing and building ETL pipelines
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience working on and delivering end to end projects independently
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- Experience with Redshift, Oracle, NoSQL etc.