The profiles we are sharing have been good but we need more hands on
- Knows Snowflake + AWS
- Kafka doesn’t matter - they have someone for that
- Python + Pyspark
- Not hands on ETL but needs to know ETL – this role is mostly creation of pipeline
- Not a strategists
- Needs someone with ground level experience
- Someone who can relate quickly to their data domain
- Need to come from data domain
- AWS heavy
- Not a data engineer
- Not developing a piece of code
- Someone who has come from this layer but can take a holistic view
- How to approach a problem
- Work with stakeholder to come up with solution architecture
- If they are given solution, they can carry out small PoC
- Doesn’t want someone who has gone from PM or BA to Architect role
- Have to have been developer/technical foundation
- Think of a 10 year profile --- maybe 5-10 years data engineer/dev + 2-4 years architecture
- Someone from AWS would be huge
- Huge plus for healthcare but share outside of
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- Deep AWS background
- Strong knowledge of data & analytics projects – pipelines, engineering, architecture
- ideally from a data background – not someone who is application heavy
- They have to create ingestion pipeline, extraction services, make framework and pattern
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- Doesn’t want this to be a standalone solution – wants to use this as a skeleton to apply elsewhere in the org
- Wants this person to be able to understand different types of data, where it’s coming from, able to organize it
- How to ingest + transform the data
- Good to have experience feeding to tableau/dashboarding/BI --- what type of interaction with dashboard
- This will focus on data domain – not enterprise responsibilities
- Bonus points – Kafka, Informatica, Salesforce