Data Engineer

San Francisco, California, USA

Applications have closed

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Job summary
About Us:
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 Position
You will shape the way that performance is measured, establish how we transform our data, and scale analytics methods and tools to support our growing business, leading the way for high-quality, high velocity decisions.
We're looking for an experienced data engineer to join our Monetization Data Engineering team, which is focused on making trusted, reusable data assets for data consumers in Ads, Commerce, and throughout Twitch to use. Your responsibilities will include creating and maintaining pipelines to batch transform billions of records into our data warehouses which act as sources of truth across the company; working with data producers to improve data coverage and ensure complete data; partnering with other data tool creators driving data quality and maintaining data across interfaces for Twitch staff to consume in different formats. In the process, you will work with technical and non-technical staff members throughout Twitch.

You Will:
Delight data consumers throughout Twitch by ensuring they have the data they need to inform decisions, where and when they need it
Own organization-level data architecture for a trusted, governed, dimensionally-modeled repository of data that enables Twitch staff to quickly and reliably answer their questions
Prioritize projects from a diverse set of stakeholders to maximize impact
Protect data sources against data quality issues: work with data producers to ensure data passes acceptance tests; develop and maintain data quality monitoring and assurance framework; and improve the processes for developing new ones, raising the level of quality expected from our work
Improve data discovery: create data exploration tools and promote adoption of data sources across the company
Improve business, engineering, and data processes through data architecture, engineering, testing, and operational excellence best practices

Basic Qualifications


You Have:
3+ years of experience in data engineering, software engineering, or other related roles
3+ years using relational database concepts with a working knowledge of SQL, SQL tuning, data modeling best principles, OLAP, Big Data technologies
3+ years of experience creating data pipelines from data sources, in collaboration with diverse stakeholders
Experience with development best practices, including query optimization, version control, code reviews, and documentation
Experience with an orchestration platform: Airflow, Luigi, Step Functions.
Experience with Amazon Web Services: Redshift, S3, Glue, EMR, Athena
Experience with Python

Preferred Qualifications

Bonus Points
A passion for games and the gaming industry

Perks:
Medical, Dental, Vision & Disability Insurance
401(k), Maternity & Parental Leave
Flexible PTO
Commuter Benefits
Amazon Employee Discount
Monthly Contribution & Discounts for Wellness Related Activities & Programs (e.g., gym memberships, off-site massages, etc.),
Breakfast, Lunch & Dinner Served Daily
Free Snacks & Beverages



We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status, or other legally protected status.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records

Tags: Airflow Athena Big Data Data pipelines Engineering OLAP Pipelines Python Redshift SQL Testing

Perks/benefits: Fitness / gym Flex hours Flex vacation Health care Insurance Lunch / meals Medical leave Parental leave Salary bonus Snacks / Drinks

Region: North America
Country: United States
Job stats:  7  0  1
Category: Engineering Jobs

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