Staff Software Engineer, DoubleVerify

• 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 with 8+ years of programming experience in coding (Python or other languages), object-oriented design and/or functional programming
• Deep understanding of distributed system technologies, standards, protocols, and have 3+ years of experience working in distributed systems like Hadoop, BigQuery, Spark, Kafka Eco System ( Kafka Connect, Kafka Streams), and building data pipelines at scale
• Proven Track record in building data platforms
• Hands-on experience building low latency, high-throughput APIs, and are comfortable using external APIs from platforms
• Excellent SQL query writing abilities, data understanding, and a good understanding of workflow tools like DBT and Dataform
• Care about agile software processes, data-driven development, reliability, and responsible experimentation
• Genuine desire to automate decision-making, processes, and workflows
• Experience working with workflow management tools such as Airflow
• Experience with DevOps domain - working with build servers, docker, and containers 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

Desirable

• As a Staff Software Engineer, you own new initiatives and designs 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 daily real-time transactions.
• You apply state-of-the-art technologies, frameworks, and strategies to address complex big data processing and analytics challenges
• Architect, design, and build application pipelines handling tens of TBs/Day, serving thousands of clients and supporting advanced analytic workloads
• Mentor a great team of motivated engineers by reviewing, understanding, and providing actionable feedback on code, architecture designs, and infrastructure deployments created and maintained by other engineers
• Explore the technological landscape to build platforms 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