Data Reliability Engineer

Who we are

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

The Data Reliability Engineer II is an integral part of the Data Operations Team, responsible for analyzing and externalizing DoubleVerify’s data internally as well as monitoring, troubleshooting, and improving the various company’s data pipelines and technologies.

• You will gain in-depth knowledge of how data is collected, processed, and externalized to clients within DoubleVerify’s architecture
• You will script in Python and SQL extensively
• You will be working with data analysis tools such as Grafana to create reports and data visualization
• You will be part of the on-call rotation
• You will work with Databricks, BigQuery, Snowflake, OLTP, MongoDB, PromQL etc
• You will be thrilled at the prospect of building strong relationships with different teams in the company, solving operational issues, and implementing quality improvements

Requirements:

• Bachelor's degree in CS or equivalent experience. A degree in a technical field is preferred
• 2  years of SQL experience is a must!
• Writing complex SQL queries from scratch and extracting business insights from large data sets 
• 2 years of experience developing automation in Python scripting language.
• 2 years of Linux environment experience
• Good understanding of BI and Data Warehousing concepts (ETL, OLAP vs. OLTP, Slowly Changing Dimensions)
• Demonstrated ability to adapt quickly, learn new skill sets, and be able to understand operational challenges
• Strong analytical, problem-solving, negotiation, and organizational skills with a clear focus under pressure
• Must be proactive with a proven ability to execute multiple tasks simultaneously
• Resourceful, results orientated with the ability to get things done and overcome obstacles
• Excellent interpersonal skills, including relationship building with diverse, global, cross-functional team
• Proven ability to troubleshoot and problem-solve in complex systems
• Good understanding of process automation

Nice to have:

• Cloud computing fundamentals, knowledge of Google Cloud services
• Previous experience with gitops, CI/CD, GitLab or other automation/delivery tools

#Hybrid#