Senior Software Engineer, Data Infrastructure

September 26

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Quora

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Media • Education • Artificial Intelligence

Quora is a global knowledge sharing platform that enables over 400 million monthly unique users to connect and share insights on a wide range of topics. Its mission is to democratize access to human knowledge trapped in people's experiences or buried in books and papers. By providing a platform for learning, sharing, and community engagement, Quora aims to enhance the collective knowledge of the world. The company also offers Poe, a feature that allows users to ask questions and engage in back-and-forth conversations with artificial intelligence.

201 - 500 employees

Founded 2009

📱 Media

📚 Education

🤖 Artificial Intelligence

💰 $85M Series D on 2017-04

📋 Description

• Design and implement scalable and efficient data architectures, meeting data needs from data scientists, engineers and business partners • Identify and implement improvements to system’s cost efficiency, reducing data storage and processing costs • Model structured & unstructured data and own data models at a high level; act as a data consultant for partner teams • Champion best practices on system usages and hold high-quality code standards • Participate in the team’s oncall rotation, helping solve timely reliability incidents • Design and scale data lake, data pipelines, distributed query engines, experimentation framework, and dashboards • Improve system reliability, create/improve tooling, and promote correct use of data across the company • Optimize, enhance or re-design company’s data architecture/pipelines to support next generation data initiatives

🎯 Requirements

• Availability for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time) • 4+ years of experience working in Data Infrastructure • Flexibility for working and owning different Data Engineering systems • Operational mindset with ability to do Problem diagnosis, Root cause analysis, Performance tuning and Incident Management • Proficiency in Python and SQL query design • Proficiency with big data processing frameworks, like: Hive, Spark and Trino • Experience building data-intensive applications (high velocity/high volume) • Experience with SQL/NoSQL data store & data lake operations • Participate in the team’s oncall rotation (availability for incidents) • Preferred: Hands-on experience with AWS technologies like S3, EC2, RDS, EKS, or in Apache Iceberg • Preferred: Flexible and positive team player with good interpersonal skills

🏖️ Benefits

• medical/dental/vision coverage • equity refreshers • remote work reimbursement • paid time off • employee assistance programs • benefits are country-specific and may vary • wide range of benefits (see https://www.careers.quora.com/benefits)