WHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.
THE ROLE
The Compute Infrastructure team empowers data scientists and data engineers through a Scala data warehouse framework designed for data modeling and the creation of type-safe and easily testable batch jobs. Our team also orchestrates a compute environment that simplifies the execution of Spark jobs, facilitating the analysis of terabytes of data with ease and cost-effectiveness. The runtime environment is based on Hadoop clusters on EC2 spot instances, dynamically scaling up as required, ensuring high resource utilization and stability
What you will be doing as part of the compute infrastructure team:
- Operate and implement new features in the framework and the services managed by the team
- Engaging with data scientist and identify ways of improving their experience and productivity of using our framework and services
- Identify and implement computational improvements
- Making improvements and/or fixing bugs by submitting patches to open source projects that are in our stack. For example Spark, Hadoop, Airflow and many others.
- Act as a office topic expert on Spark and Scala
Your Profile
You are interested in back-end technologies and architecture and are passionate about learning new things. You may also be interested in math, statistics, or adtech technology.
You have a degree In Computer Science, Software Engineering, Physics, Math, Or Chemistry. You have practical experience with actual programming, and preferably also have a practical and/or deep theoretical understanding of some of the following:
- Spark and/or other large-scale data-processing framework
- Programming in Scala or other JVM based language
- Basic knowledge about Amazon Web Services (EC2, S3, Athena, etc)
You approach problems analytically and solutions pragmatically. You are full of good ideas, able to see opportunities and weaknesses in other people’s ideas, and able to find ways to discuss ideas in a distanced and constructive manner. You love to go in depth with different topics and are curious about learning about things within new subjects. You want to understand and get involved with the problems the company is facing. You thrive in a dynamic environment where work priorities can change, and therefore tasks may not always be finished. You can hand over tasks, but prefer to finish them yourself. You are able to work independently and enterprisingly. When people come to you with a problem, bug or a question you’ll want to help them immediately.
PEOPLE & CULTURE AT ZETA
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.
We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/
ZETA IN THE NEWS!
https://zetaglobal.com/press/?cat=press-releases
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