Staff Software Engineer, Data Backend
Job Description
- Experience with open source systems like Hive, Spark, Presto, Flink
- 7+ years of experience building large-scale infrastructure
- Experience with distributed systems or networks
- Streaming compute experience
About Appier
Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.
About the role
We are seeking a talented Staff Software Engineer to join our dynamic data engineering Team. We are in search of individuals who have extensive experience in large scale data systems. In this role, you'll be instrumental in owning these systems, designing, developing and setting the vision of offline and online computing. Your work will have a major impact on several areas of the business.
Responsibilities:
- Own, lead and set the vision for one or more large scale offline and online compute systems
- Work with data engineers, data scientists, ML engineers and software engineers from other orgs to understand their requirements, build solutions and enforce best practices
- Innovate how ETLs, online, and offline compute should work.
- Set high standards, mentor and coach other engineers on the team
Minimum requirement:
7+ years of experience building and developing large-scale infrastructure, distributed systems or networks. Have streaming compute experience.
(large-scale: Hundred to thousand of servers, QPS 10k to million, data volume or table size of TB (terabytes) to PB (petabytes) )
Preferred experience: Working with open source systems like Hive, Spark, Presto, Flink.
#LI-BD1 #LI-Hybrid
