Staff Data Engineer 

Who we are

DoubleVerify is the leading independent provider of marketing measurement software, data and analytics that authenticates the quality and effectiveness of digital media for the world's largest brands and media platforms. DV provides media transparency and accountability to deliver the highest level of impression quality for maximum advertising performance. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best in class solutions across the digital ecosystem, helping to build a better industry. Learn more at www.doubleverify.com.

Role Description

In this role, you are going to build an online analytic platform providing insights and data for Doubleverify’s clients and internal users. The platform ingests billions of events per day and makes them available for consumption through an intuitive and highly performant UI. Additionally, it allows programmatically access data while applying a tight Data Governance strategy. To achieve this goal you will create, test and roll out robust and fully productionized code. Additionally, guide and collaborate with a talented, curious and highly motivated group of engineers and engineering leads.

 Responsibilities

• Architect, design and build a big data online analytic platform processing tens of TBs/Day, serves thousands of clients and supports advanced analytic workloads
• Build Object Oriented or Functional Programming, scalable and high quality code
• Constantly review code, look for design breaches, provide meaningful and relevant feedback to developers, stay up-to-date with system changes
• Collaborate with multiple cross-disciplinary teams and provide technical leadership, guidance and coaching to engineers through brainstorming sessions, design reviews, and pair-programming
• Create technical standards of CI/CD, quality, monitoring, security, modifiability, extensibility and maintainability of data processing software
• Continuously explore the technical landscape of the Big Data ecosystem through POCs and analysis of various frameworks and technologies

 Qualifications

• 8+ years of experience in building and operating mission-critical data-intensive and distributed systems
• 5+ hands-on coding experience with Scala/Java/.net Core/Python development 
• 3+ years of experience creating complex data pipelines using SQL and analyzing data
• Ability to Architect and Design complex software systems while adhering to fundamental principles and best practices
• In-depth understanding and hands-on experience with distributed columnar data stores
• Experience with BigQuery data modeling, performance tuning and cost optimizations
• Experience with following and advocating state of the art SDLC processes
•  BS, MS, or PhD in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience

Additional skills:

• Problem solver 
• Production operations and monitoring