Alex von Kitchen on Nostr: Hey #FediHire Anyone after a remote data nerd, around east coast / central Australian ...
Hey #FediHire
Anyone after a remote data nerd, around east coast / central Australian time? Ideally 4 days per week
Lots of experience with data analysis, liaising with stakeholders about what information they actually need. Can design and build ETL processes and databases, and do the documentation for them
Experience working with older, poorly documented systems and trying to understand them
Also a lot of experience with sensitive data about people, like medical records
Technical skills: SQL, SAS, some exposure to R. Happy to learn new languages
My preference is for building things that are simple and robust. Infrastructure should be boring
Published at
2025-03-31 00:02:34 UTCEvent JSON
{
"id": "15e3b51453795353ba0366da975dfb87e14c29382c951288460456b3777381ea",
"pubkey": "78b32438d93aa189c3ceeae3ac642ccbd86f3894e676ca81087bde3b82986c53",
"created_at": 1743379354,
"kind": 1,
"tags": [
[
"t",
"fedihire"
],
[
"proxy",
"https://aus.social/@Dangerous_beans/114254109406873092",
"web"
],
[
"proxy",
"https://aus.social/users/Dangerous_beans/statuses/114254109406873092",
"activitypub"
],
[
"L",
"pink.momostr"
],
[
"l",
"pink.momostr.activitypub:https://aus.social/users/Dangerous_beans/statuses/114254109406873092",
"pink.momostr"
],
[
"-"
]
],
"content": "Hey #FediHire \nAnyone after a remote data nerd, around east coast / central Australian time? Ideally 4 days per week\n\nLots of experience with data analysis, liaising with stakeholders about what information they actually need. Can design and build ETL processes and databases, and do the documentation for them\n\nExperience working with older, poorly documented systems and trying to understand them\nAlso a lot of experience with sensitive data about people, like medical records\n\nTechnical skills: SQL, SAS, some exposure to R. Happy to learn new languages\nMy preference is for building things that are simple and robust. Infrastructure should be boring",
"sig": "7c8d9d5557605a08e360e5fb3df8f19f52ef71a7c3f05d1d97ae00ee3b820e4dfab42e8e43db4db6b12eafedeac5d58a304d381f9d4ce8f7af15b0ceaa2852bc"
}
