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Required Skills: Software Engineer - Data Infrastructure
Required Exp: 3 to 5 years
Address: California (US)
Category: Overseas Openings
Name:
Email:
at Quora
Mountain View, California, United States
The vast majority of human knowledge is still not on the internet. Most of it is trapped in the form of experience in people's heads, or buried in books and papers that only experts can access. More than a billion people use the internet, yet only a tiny fraction contribute their knowledge to it. We want to democratize access to knowledge of all kinds — from politics to painting, cooking to coding, etymology to experiences — so if someone out there knows something, anyone else can learn it. Our mission is to share and grow the world's knowledge, and we're building a world-class team to help us achieve this mission.
Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high quality code by designing APIs and abstractions that are extensible and maintainable. Everyone on the engineering team has a huge impact on our product and our company.
Our data infrastructure team maintains, operates and expands data ecosystem @Quora which includes Data warehousing, Streaming infrastructure, Distributed cluster-computing framework, Distributed query engines, Messaging systems, Data pipelines & Automation Tools. In this role you will be responsible for contributing to different aspects of data pipeline development and operational stability of the production big data systems. We leverage existing open source technologies like Spark, Flink, Kafka, HDFS, Hbase, Hive, Presto, Airflow and also build our own systems for experimentation & time-series analysis. As a member of our team you would spend time designing and scaling our distributed data systems, working closely with other teams to identify and execute on new use cases & evangelize the correct use of data at the company. We are looking for someone who will be excited by the prospect of optimizing, enhancing or even re-designing our company’s data architecture/pipelines to support our next generation data initiatives.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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