Who We Are
Verve has created a more efficient and privacy-focused way to buy and monetize advertising. Verve is an ecosystem of demand and supply technologies fusing data, media, and technology together to deliver results and growth to both advertisers and publishers–no matter the screen or location, no matter who, what, or where a customer is. With 30 offices across the globe and with an eye on servicing forward-thinking advertising customers, Verve’s solutions are trusted by more than 90 of the United States’ top 100 advertisers, 4,000 publishers globally, and the world’s top demand-side platforms. Learn more at www.verve.com.
Who You Are
We're looking for a Senior Data Warehouse Engineer to join our Data Analytics team at Verve. This team processes millions of data requests per second from our ad exchanges, managing terabytes of data to support business intelligence, analytics, and data science. You'll be responsible for building a system that provides fast, reliable, and cost-efficient data access, helping us deliver accurate insights with an easy-to-use interface.
In this role, you'll work closely with our product and engineering teams, ensuring smooth project delivery. We're looking for someone who can handle large-scale data independently while being a great team player. You'll focus on developing new features, optimizing performance, and ensuring platform stability. Precision, efficiency, and delivering high-quality results are essential, and you'll report to the Engineering Manager, Data Analytics.
What You Will Do
In this role, your main focus would be around DWH
Efficient and flexible data schema
DWH engine performance and reliability
Efficient SQL-based transformations
Cost-efficient analytical solutions
Our Data Engineer role includes the following responsibilities:
Designing, developing, and improving DWH solutions for the Adtech
Ability to articulate business requirements and bridge the gap between development teams and stakeholders.
Ability to present business and technical issues, ideas, and recommendations in verbal, written, and presentation formats using storytelling and logical arguments.
Writing simple, understandable, testable, and efficient code with a focus on solid technical stability and great user experience
Collaborating with stakeholders to understand project functional requirements and objectives from a data processing perspective
Ensuring compliance with industry standards and regulations in terms of security, and data privacy applied in the data processing layer
Defining and implementing security measures according to best practices
Work closely with product and reporting teams to provide accurate on-time and organize fast and easy access to them
Design end-to-end DWH solutions, working closely with the data processing and data science engineering teams
Collaborate with teams across the globe in different time zones
Extend successful solutions and optimization to sister companies in Verve Group
