As a Revenue Systems Data Engineer within Google's Ads & YouTube Controllership, you will be responsible for optimizing financial processes and reporting systems. This role combines technical expertise in data engineering with business acumen in financial systems. You'll work with distributed data processing systems like Hadoop, Spark, and Dataflow to build robust ETL pipelines and data warehouses. The position requires collaboration with multiple teams including Finance, Product, and Engineering to translate complex business requirements into technical solutions.
The role is based in Dublin, Ireland, where you'll be part of Google's global technical infrastructure team. You'll need strong programming skills in languages like Java, Python, or C++, along with extensive experience in SQL and data modeling. The position offers the opportunity to work on critical systems that support Google's advertising and YouTube revenue operations.
Key responsibilities include designing data pipelines, developing reporting systems, and ensuring data integrity for financial reporting. You'll also be involved in technical documentation and stakeholder management. The ideal candidate should have at least 3 years of experience in data engineering and distributed systems, with a strong foundation in object-oriented programming.
This is an excellent opportunity for a mid-level engineer looking to make an impact on Google's financial systems while working with cutting-edge technology. The role combines technical challenges with business-critical objectives, offering significant growth potential in both technical and business domains.