What You’ll Actually Do
- Build and run scalable pipelines (batch + streaming) that power gameplay, wallet, and promo analytics.
- Model data for decisions (star schemas, marts) that Product, BI, and Finance use daily.
- Make things reliable: tests, lineage, alerts, SLAs. Fewer surprises, faster fixes.
- Optimize ETL/ELT for speed and cost (partitioning, clustering, late arrivals, idempotency).
- Keep promo data clean and compliant (PII, GDPR, access controls).
- Partner with POs and analysts on bets/wins/turnover KPIs, experiment readouts, and ROI.
- Evaluate tools, migrate or deprecate with clear trade-offs and docs.
- Handle prod issues without drama, then prevent the next one.
What You Bring
- 4+ years building production data systems. You’ve shipped, broken, and fixed pipelines at scale.
- SQL that sings and Python you’re proud of.
- Real experience with OLAP and BI (Power BI / Tableau / Redash — impact > logo).
- ETL/ELT orchestration (Airflow/Prefect or similar) and CI/CD for data.
- Strong grasp of warehouses & lakes: incremental loads, SCDs, partitioning.
- Data quality mindset: contracts, tests, lineage, monitoring.
- Product sense: you care about player impact, not just rows processed.
Nice to Have (tell us if you’ve got it)
- Kafka (or similar streaming), ClickHouse (we like it), dbt (modular ELT).
