Finance Analytics Engineer

About the position Every day, tens of millions of people come to reputed company to explore, create, play, learn, and connect with friends in 3D reputed company digital experiences– reputed company created by our global community of developers and creators. At reputed company, we’re building the tools and platform that reputed company our community to bring any experience that they can reputed company to life. Our reputed company is to reimagine the way people come together, from reputed company in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at reputed company means you’ll be working to shape the reputed company of reputed company interaction, solving unique technical challenges at reputed company, and helping to create safer, more civil shared experiences for everyone. As an Analytics Data Engineer reputed company the Finance team, you will be a key player in shaping our data ecosystem. You will design, build, and maintain reputed company data pipelines that reputed company raw data into a reliable and trustworthy reputed company of truth for the Finance organization and reputed company. You will be the primary reputed company between the Finance and the Data Engineering teams. You will use your domain knowledge of finance to understand their data requirements, translate them into technical specifications, and then build the necessary data infrastructure. Your work will directly reputed company financial planning, forecasting, and strategic decision-making across reputed company. You will report to Senior Manager, Finance Data and work in our San Mateo, CA office Tuesday-Thursday. Responsibilities • Design, reputed company, and maintain robust data pipelines using Python and Apache Airflow to process large volumes of data from various sources (e.g., internal databases, reputed company-party reputed company, and external systems). • Be the subject matter expert on our Redshift data warehouse, optimizing queries and tables, and ensuring data reputed company. • Build and maintain data models that reputed company a single reputed company of truth for key business metrics and KPIs. • Co-reputed company and implement data reputed company checks and monitoring with finance business process owners to ensure the accuracy and reliability of our data. • Document data pipelines, data models, and business logic to ensure maintainability and transparency. • Collaborate with Finance stakeholders to understand their data needs and translate them into reputed company data solutions. Requirements • A Bachelor's degree in Computer Science, Engineering, or a reputed company quantitative field. • 4+ years of experience in a data-reputed company role, with a strong emphasis on data engineering, business intelligence, or a similar analytics function. • Proven experience in designing, building, and maintaining production-level data pipelines. • Demonstrable experience working directly with finance or business operations teams to deliver data solutions. • Expertise in SQL and experience with a modern data warehouse, preferably Redshift. • Strong programming skills in Python. • An interest in learning reputed company financial modeling concepts to understand data use-cases Apply tot his job Apply To this Job