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DoubleVerify // digital media measurement software & analytics
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Who are we

DoubleVerify is an Israeli-founded big data analytics company (Stock: NYSE: DV). We track & 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 & over 1M RPS at peak, we process events in real-time at low latencies (ms) & 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 & measure the viewability & users engagement throughout the ads lifecycle. 

We are global, with HQ in NYC & R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium & San Diego. We work in a fast-paced environment & have a lot of challenges to solve. If you like to work in a huge scale environment & want to help us build products that have a huge impact on the industry, & the web - then your place is with us.

What you will do

  • You will work in a team of data & backend engineers producing user attentiveness insights & recommendations that help big brands optimize their digital advertising strategy. 
  • You will process 10s of billions of records a day using mainly Python & Scala, utilizing advanced technologies like Spark, Kafka, Docker, Kubernetes, DataBricks & GCP managed solutions. 
  • You will build data pipelines that integrate with internal & external data sources from various platforms to enhance business insights while keeping standards high with testing, automated deployment & high degree of observability. 
  • You will be responsible for defining solutions & delivering them while collaborating with engineering & product teams on productionizing & monitoring your solutions.
  • You will explore, implement & support multiple data initiatives & projects at the same time.

What you need to have

  • At least 4 years in Software Development
  • At least 3 years experience coding in Python\Java\C#\Scala & a like
  • At least 3 years of experience working with relational databases 
  • At least 2 years of experience building ETLs or ELTs
  • Good analytical skills & well-versed with SQL
  • Good interpersonal & communication skills
  • Passion for development with high quality & a sharp mind
  • 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

#Hybrid 

 
 
 
 
 
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