How is this team at LinkedIn? On call, code quality, promotions, impact, leadership, process, ease of deployments, etc. Which team would you recommend for someone who mostly has experience building distributed web application backends? Definitely not a data science geek and I dont want to specialize in machine learning.
Data Infra is a huge org. Which team? But agree with FB ☝️, data infra probably has the highest talent bar within LinkedIn.
APA is very big and varies a lot. The data infra teams I would say are spark, ump, pinot, etc. The rest are your generic big data engineer.
Which ones would you say have bigger scope? If i worked at the Pinot team for example, thats all i would be exposed to no?
By bigger scope do you mean how many teams would rely on you and what has the most oncall and support?
Hadoop team has bigger scope including Spark, Gobblin, Dali Pinot is stable UMP is busy but in suboptimal shape ...
I am in big data infrastructure group that comprises of Hadoop (HDFS, Spark, Tensorflow, Dali), UMP, Pinot, Presto and would be happy to talk about any specific questions you might have.
how did you get a call from LinkedIn?
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I haven’t done shit today!
Superb team. Gem of LI