Amazon Data Engineer - Monetization 

United States, California, San Francisco 

618848570

About the RoleAs a data engineer in the Monetization organization you will work on making Twitch’s massive data sets robust and consumable by people around the company. You’ll work with a team of other data engineers to build and maintain data pipelines that allow our stakeholders to understand our business.You can work from Twitch’s headquarters in San Francisco, CA.
You Will
- Work closely with data scientists and engineers to create robust data architectures and pipelines
- Develop and manage scalable data pipelines to extract, transform, and load data from various sources
- Collaborate with stakeholders to understand business requirements and translate them into data-driven solutions
- Automate data processing and reporting workflows to improve efficiency and data integrity
- Implement data quality checks and monitor processes to maintain high data accuracy
- Simplify and enhance the accessibility, clarity, and usability of large and complex datasets through the development of data cubes and data sharing solutions
- Develop and manage scalable, automated, and fault-tolerant data solutions using technologies such as Spark, EMR, Python, Redshift, Glue, and S3

- 1+ year of experience working in a data engineering, data science, or software engineering capacity
- Deep expertise in writing and maintaining robust data pipelines in SQL and Python
- Ability to turn data requirements from stakeholders into actionable plans
- Extensive experience with cloud computing tools, like AWS, Azure, or Google cloud
- Proven experience implementing best practices in data pipelines, ensuring accuracy, consistency, and reliability

- Bachelor's degree, or Master's degree in computer science, statistics, information systems, or a related, technical field
- Experience with a scripting language (e.g., Python, Java, or R)
- Familiarity and interest in TwitchPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.