Job Description
Who We Are DoubleVerify is the leader in digital performance solutions, helping our advertiser and agency partners Verify the quality of their digital campaigns, Optimise to improve performance and Prove that they’re achieving their business outcomes, through unbiased 3rd party data and analytics. DV’s mission is to be the definitive source of transparency and data-driven insights into the quality and effectiveness of digital advertising for the world’s largest brands, agencies, publishers, and digital ad platforms. 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 advertising ecosystem, helping to build a better industry. Learn more at www.doubleverify.com.
Position Overview
As a Sr Software Engineer || (Data), you spearhead new initiatives, design and build world-class platforms to measure and optimize ad performance. You ensure the industry-leading scalability and reliability of mission-critical systems that process billions of real-time transactions daily. You apply state-of-the-art technologies, frameworks, and strategies to address complex challenges with Big-Data processing and analytics.
What you’ll do
Design and build big data processing platforms handling tens of Billions of transactions/day that serve thousands of clients and support advanced data pipelines.
Mentor a great team of motivated engineers by regularly reviewing code, looking for design breaches, providing meaningful and relevant feedback to developers, and staying up-to-date with system changes.
Explore the technological landscape for new ways of producing, processing, and analyzing data to gain insights into both our users and our product features
Design, develop, and test data-driven products, features, and APIs that scale
Continuously improve the quality of deliverables and SDLC processes
Operate production environments, investigate issues, assess their impact, and develop feasible solutions.
Understand business needs and work with product owners to establish priorities
Bridge the gap between Business / Product requirements and technical details
Work in multi-functional agile teams with end-to-end responsibility for product development and delivery
Who you are
Lead by example - design, develop, and deliver quality solutions.
Love what you do and are passionate about crafting clean code and have a steady foundation
6+ years of programming experience in coding, object-oriented design, and/or functional programming
Deep understanding of distributed system technologies, standards, and protocols, and have 2+ years of experience working in distributed systems like Airflow, DBT, Big Query, Spark, Pub Sub Eco System ( Kafka Connect, Kafka Streams, or Kinesis), and building data pipelines at scale.
Excellent SQL query writing abilities, data understanding and using distributed Data Stores like BigQuery
Deep understanding of distributed system technologies, standards, protocols
Hands-on experience building low latency, high-throughput APIs, and are comfortable using external APIs from platforms.
Excellent SQL query writing abilities and data understanding
Care about agile software processes, data-driven development, reliability, and responsible experimentation
Genuine desire to automate decision making, processes, and workflows
Experience with DevOps domain - working with build servers, docker, and containers clusters (kubernetes)
Google BigQuery or Snowflake
Experience in Mentoring and growing a diverse team of talented data engineers
B.S./M.S. in Computer Science or a related field
Excellent communication skills and a team player
Cloud environment, Google Cloud Platform
Container technologies - Docker / Kubernetes
Ad serving technologies and standards
The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV. This role will also be eligible for bonus/commission (as applicable), equity, and benefits.
Not-so-fun fact: Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway!
