Position: Data Engineer (for biotech company)
Company: BestHeads
Experience required: 3y
English level: upper

3+ years of professional experience as a data specialist in a tech company
Advanced SQL, good Python and familiarity with R
Experience with “Modern Data Stack”
Experience in setting up and using technologies from our current stack: Google Cloud Platform (GCS+BQ), Dagster, dbt, Metabase, Power BI

We are looking for a key player for building an internal data platform. The person will be responsible for the data value chain from top to bottom: data collection, storage, processing, querying and visualization. This position is for someone comfortable digging into complex life science domain knowledge while bringing great data engineering skills and standards to the table.

RESPONSIBILITIES
Set up and maintain infrastructure: Data Lake\Warehouse, ELT tools, data access and visualization tools
Identify external and internal data that is relevant to the problem at hand: drug databases, clinical trials databases, gene annotations, publications etc
Set up an ELT process and integrate new data with an internal data model
Develop a dashboard, ad hoc report, data entry automation etc

SKILLS
These are skills and qualifications essential for above responsibilities:
3+ years of professional experience as a data specialist in a tech company
Advanced SQL, good Python and familiarity with R
Experience with “Modern Data Stack”
Experience in setting up and using technologies from our current stack: Google Cloud Platform (SQ), Dagster, dbt, Metabase, Power BI
Good English speaking and writing
A degree in a STEM discipline is a big +
Familiarity with molecular biology or the drug discovery process

WHAT WE OFFER:
Long-term contract
Competitive salary
Remote work from anywhere in the world with 3-5 hours a day availability during Pacific Time Zone work hours.