Data Engineer II, Zappos Analytics

Job description

As a Data Engineer at Zappos, you will play a crucial role in designing, developing, and maintaining our data infrastructure. You will work closely with cross-functional teams to ensure that data is collected, processed, and made available for analysis, reporting, and machine learning applications. Your expertise in data pipelines, ETL processes, and data warehousing will be instrumental in shaping our data ecosystem. The right candidate will be excited by the opportunity to redesign our company’s data architecture to support our next generation of data initiatives. Key job responsibilities • Design, build, and maintain robust data pipelines to acquire, process, and store data from various sources such as databases, APIs, and external data providers. • Develop and optimize ETL (Extract, Transform, Load) processes to clean, enrich, and structure raw data into a usable format for analysis and reporting. • Implement and manage data warehousing solutions to ensure efficient data storage, retrieval, and query performance. • Establish data quality standards, perform data validation, and proactively identify and address data quality issues. • Optimize data pipelines and storage solutions to handle large volumes of data while maintaining high performance and reliability. • Ensure data privacy and security by implementing access controls, encryption, and…