Who are we
DoubleVerify is an Israeli-founded big data analytics company (Stock: NYSE: DV). We track and analyze tens of billions of ads every day for the biggest brands in the world.
We operate at a massive scale, handling over 100B events per day and over 1M RPS at peak, we process events in real-time at low latencies (ms) and analyze over 2.5M video years every day. We verify that all ads are fraud free, appear next to appropriate content, appear to people in the right geography and measure the viewability and user’s engagement throughout the ad’s lifecycle.
We are global, with HQ in NYC and R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium and San Diego. We work in a fast-paced environment and have a lot of challenges to solve. If you like to work in a huge scale environment and want to help us build products that have a huge impact on the industry, and the web - then your place is with us.
What you will do
You will work in a team of data and software engineers building our Authentic Attention products.
You will process 10’s of billions of records a day using mainly Python and Scala, utilizing advanced technologies like Spark, Kafka, Docker, Kubernetes, DataBricks and GCP managed solutions like Google Composer and many more.
You will build the next generation of digital advertising optimization tools used by the biggest advertisers in the world to help them understand and optimize their ROI. This is a true big data product at a huge scale and high impact for our clients and the digital advertising industry as a whole.
You will maintain a very high engineering standard that includes testing, automated deployment, infrastructure as code, high degree of monitoring and availability.
What you need to have
- At least 5 years in Software Development
- At least 3 years experience coding in Python\Java\C#\Scala and a like
- At least 3 years experience working with relational databases
- At least 1 year of experience building ETLs or ELTs
- Good interpersonal and communication skills
- Passion for development with high quality and a sharp mind
- Good analytical skills and well versed with SQL
- Experience maintaining business-critical production systems
Nice to have
- Experience with Python
- Experience with CI/CD pipeline, Docker & Kubernetes, public cloud providers
- Experience with Spark
- Experience with non-relational DB
- Experience with streaming processing
- Experience with online advertising technologies
