Sr. Data Engineer

April 4, 2022


At Zuora, data is a key strategic pillar for operating our business.  All our teams rely on accurate, timely data to measure and improve outcomes, including building better products, improving the customer experience, optimizing the sales process, and ultimately increasing the overall value we deliver to our customers. As an engineer on the Zuora Corporate Data Team, you'll have the opportunity to design and build robust end-to-end solutions to support data-driven decision making across the entire company, including: Pipelines and tools for delivering a reliable flow of metrics from all our products to help understand customer usage Orchestration for extracting and transforming data from all our business applications and systems A centralized data warehouse that assembles key data and insights about customers, users and products into one central location Integrations with BI tools and other applications to provide business and technical users with secure, flexible trustworthy access to the data they need, through interfaces that meet their specific needs Specific technical skills that you'll have a chance to learn and refine include: Building and monitoring data pipelines using open source tools and frameworks Designing, implementing and operating robust API services Provisioning and maintaining complete architectures on public cloud infrastructure (AWS) Working with a variety of data stores and technologies Data modeling and solving complex analytic transformations using SQL As an engineer, advancing your career depends on much more than your ability to solve isolated technical problems.  Joining the Corporate Data Team will also give you the opportunity to develop the whole range of skills you need to scale your effectiveness as an organizational leader: Working directly with end users in a variety of different roles to understand business requirements and identify appropriate technical solutions Working cross-functionally to support an effective corporate data governance program Writing design and implementation documentation Running a transparent, predictable software delivery lifecycle, including planning, testing and release management Operating high-availability, mission-critical services Successful candidates for this position should be able to demonstrate a solid foundation as software engineers, experience building and operating complex data pipelines, excellent communication skills, and a strong desire to learn.   Specific desired experience and knowledge includes: python for data integration and application development complex SQL for data transformation, validation, and analytics data pipeline orchestration (we currently use Airflow) provisioning and monitoring public cloud infrastructure (AWS) interactive data exploration and visualization #LI-DO1

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