About the position
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. As a Senior Software Engineer (Data), you own new initiatives, design and build world-class platforms to measure and optimize ad performance. You ensure industry-leading scalability and reliability of mission-critical systems processing billions of real-time transactions a day. You apply state-of-the-art technologies, frameworks, and strategies to address complex challenges with Big-Data processing and analytics.
Responsibilities
- Write solid code with a focus on high performance for services supporting high throughput and low latency
- Architect, design, and build big data processing platforms handling tens of TBs/Day, serve thousands of clients, and support advanced analytic workloads
- Providing meaningful and relevant feedback to junior 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
Requirements
- 5+ years of programming experience in coding, object-oriented design, and/or functional programming, including Python, Scala, or related language
- Lead by example - design, develop, and deliver quality solutions
- 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
- Hands-on experience building low latency, high-throughput APIs, and 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 working with dependency management tools such as Airflow
- Experience with DevOps domain - working with build servers, Docker, and container clusters (Kubernetes)
- 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
Nice-to-haves
- Vertica or other columnar data stores
- Google BigQuery or Snowflake
- Spark Streaming or other live stream processing technology
- Cloud environment, Google Cloud Platform
- Container technologies - Docker / Kubernetes
- Ad-serving technologies and standards
Benefits
- Bonus/commission eligibility
- Equity
- Comprehensive benefits package
