Data Engineer, Rev Analytics, Revenue Analytics
US, TX, Virtual Location - Texas
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...About Twitch:
Launched in 2011, Twitch is a global community that comes together each day to create multiplayer entertainment: unique, live, unpredictable experiences created by the interactions of millions. We bring the joy of co-op to everything, from casual gaming to world-class esports to anime marathons, music, and art streams. Twitch also hosts TwitchCon, where we bring everyone together to celebrate, learn, and grow their personal interests and passions. We’re always live at Twitch. Stay up to date on all things Twitch on Linkedin, Twitter and on our Blog.
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
You Will:
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.
Basic Qualifications
- 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
Basic qualifications
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
Preferred Qualifications
Preferred qualificationsAt 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Athena AWS Classification Data management Data pipelines Data Warehousing DynamoDB EC2 Engineering ETL Lambda NoSQL Pipelines PostgreSQL Python RDBMS Redshift SQL
Perks/benefits: Career development
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