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About the Role:
Twitch is searching for a Data Engineer with a motivated mindset and a focus on exceeding expectations. You should understand a want to build a culture of customer-first partnerships and have the desire to evolve the value of Twitch and Amazon IT's engineering organization. Working with teams with Amazon and Twitch Advertising and others in Corporate Engineering, you will directly affect important company-wide functions. You will help build data warehouses, data pipelines, and promote data and analytics use across many business services such as Pricing and Yield, Sales Operations, Business Systems, Ad Operations and Sales. You will report to our Manager of Revenue Analytics within Twitch’s Strategic Planning Organization
Key job responsibilities
Build data pipelines: Manage data pipelines consist of a series of stages through which data flows. Architecting and creating data pipelines will be the primary responsibility of the data engineer.
Partner with cross functional data teams on both the Amazon side and Twitch side to standardize ad delivery source of truth.
Drive Automation through metadata management: You will use modern tools, techniques and architectures to partially or completely automate the most-common, repeatable data preparation to minimize manual and error-prone processes.
Collaborate across departments: You will need strong partnership skills to work with varied partners. In particular, the data engineer will work in close relationship with data science teams and with business (data) analysts in refining their data requirements.
Participate in ensuring compliance with data classification and handling guidelines: Working with information stewards in vetting and promoting content created to ensure all data complies with Twitch's data classification and handling guidelines.
- 3+ years of experience as a Data Engineer or in a similar role
- Experience with data modeling, data warehousing, and building ETL pipelines
- Experience in SQL
3+ years of experience as a Data Engineer or in a similar role
Experience with data modeling, data warehousing, and building ETL pipelines
Experience in SQL
At least three years of work experience in data management disciplines including data architecture, data integration, modeling, optimization, and data quality or other areas directly relevant to data engineering tasks.
At least two years of experience working in teams with collaborators to support a departmental or multi-departmental data management and analytics initiative.
Experience with advanced analytics tools for Object-oriented/object function scripting using languages such as Go or Python hosted on AWS EC2 or Lambda
Can design and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata, and workload management.
Experience working with and optimizing existing ETL processes and data integration and data preparation flows and moving them in production.
Experience working with a spectrum of NoSQL, RDBMS and data stores like AWS Redshift, Athena, PostgreSQL and DynamoDB
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.