Data Engineer

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Logo of YPO

YPO

201 - 500 employees

🤝 B2B

☁️ SaaS

📣 Marketing

B2B • SaaS • Marketing

YPO is a company that provides dynamic URL shortening, QR code generation, analytics, and comprehensive link management solutions for businesses. The company's products include branded links, mobile links, and UTM campaigns, offering integrations and APIs to enhance customer engagement across various industries such as retail, consumer goods, media, tech, and professional services. With a focus on data-driven solutions, YPO aims to streamline operations and improve user experience for its diverse clientele worldwide.

📋 Description

• Help determine the direction and implementation of YPO’s internal data architecture and its usage throughout the organization and member-facing services • Collaborate with the data product owner on new product development • Design and build data services and pipelines supporting a wide variety of use cases • Support internal data products and services by analyzing and organizing raw data • Evaluate business needs and objectives related to data usage and development • Analyze and interpret trends and patterns to identify new opportunities • Help define data best practices and tool usage • Explore ways to enhance data quality and reliability • Identify opportunities for data acquisition

🎯 Requirements

• Bachelor’s degree in data engineering or at least 8+ years of comparable professional experience in a data engineering role • Master’s degree preferred • Prefer 5+ years’ experience as a data engineer for a consumer-facing organization with a large and varied customer/user base • Extensive hands-on experience with relational, NoSQL graph, and GraphQL database design • Technical expertise with data models, data mining, and segmentation techniques • Knowledge of programming languages such as Java and Python • Experience working within a test-driven CI/CD development pipeline • Great numerical and analytical skills • Ability to combine data from varied sources and correlate it for business and end-user insights • Experience with data platforms such as Snowflake and BigQuery, visualization tools including Looker and Tableau, and data services including Salesforce and third-party API-based data • Ability to work flexible and/or extended hours across multiple time zones • Willingness and ability to travel domestically and internationally without restrictions, approximately 20% per year

🏖️ Benefits

• Flexible and/or extended hours as needed to accommodate members and team members in multiple time zones • Willingness and ability to travel domestically and internationally, approximately 20% per year • Inclusive and diverse workforce policies and practices

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