Data Engineer

Senior Data Engineer

Remote

Fulltime

The Role

As a Senior Data Engineer, 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. You work closely with the talented engineers across different time zones in building industry-first solutions to measure and optimize ad performance.

What youll do

• 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
  

Who you are

• 5+ years of programming experience in coding, object-oriented design, and/or functional programming, including Python or a related language
• Love what you do and are passionate about crafting clean code, and have a steady foundation.
• Deep understanding of distributed system technologies, standards, and protocols, and have 2+ years of experience working in distributed systems like Airflow, BigQuery, Spark, Kafka Eco System ( Kafka Connect, Kafka Streams, or Kinesis), and building data pipelines at scale.
• Excellent SQL, DBT 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 orchestration tools like Airflow
• Good understanding of semantic layers and experience in tools like LookerML, Kube
• Excellent communication skills and a team player
• Google BigQuery or Snowflake
• Cloud environment, Google Cloud Platform 
• Container technologies - Docker / Kubernetes
• Ad-serving technologies and standards 
• Familiarity with AI tools like Cursor AI, CoPilot.