Please note: this role is for our partner company, a game studio developing slot and casino games with a strong focus on data-driven growth and AI-powered engagement solutions.
The Mission
If the Data Scientist is the \"Brain,\" you are the \"Heart.\" The Scientist cannot build a model if the data is stuck in a slow database or full of errors. Your Goal: Build a lean, reproducible pipeline that extracts raw data from slow sources, anonymizes it (hashing), cleans it, and loads it into a schema ready for analysis.
The 90-Day Plan
* March (Extraction): Write Python scripts to extract history from a \"slow\" Metabase/API without timing out (e.g., looping day-by-day). Hash Player IDs immediately in-memory.
* April (Transformation): Normalize messiness. Convert multiple currencies (BRL, EUR) to USD. Fix Timezone conflicts (UTC vs Local). Build the Fact_Bets table.
* May (Automation): Containerize the pipeline (Docker) so it runs with one click. Hand over clean datasets to the Data Scientist.
* Python: Expert level. You prefer Polars or Pandas for processing large CSVs on a single machine.
* SQL: Advanced. You can write window functions to calculate \"Running Wallet Balance\" from transaction logs.
* Ops: Docker (Basic). Ability to spin up a local PostgreSQL or S3 bucket.
* Tools: Experience scraping/extracting from APIs that rate-limit you.
Who You Are
* The MacGyver: You don't ask for a Hadoop Cluster to parse a 5GB file. You write a script that does it in 10 minutes on your laptop.
* The Guard: You understand PII/Security. You know exactly how to hash data so no real player names ever enter the analytics layer.
* The Translator: You know what a \"Bet,\" \"Win,\" and \"Deposit\" look like in a database (iGaming/Fintech experience is a huge bonus).
What we offer
* Enjoy a competitive salary that is regularly reviewed as you grow professionally.
* Work from anywhere with our fully remote setup.
* Benefit from 21 days of paid vacation each year.
* Receive 10 paid sick days without needing a doctor’s note.
* Join us full-time and be part of a supportive, flexible work environment.
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