Related skills
looker snowflake sql python tableau📋 Description
- Hybrid data engineer/analyst role spanning end-to-end data flows.
- Build data pipelines and insights with Engineering and Product partners.
- Fix data gaps and own stack-wide issue resolution.
- Perform reconciliation validation across sources.
- Deliver business value via curated data models and dashboards.
- Ensure data quality, monitoring, and reliable pipelines.
🎯 Requirements
- Modular data models (star/snowflake) for analytics.
- Advanced SQL for transformation, querying, optimization.
- ETL/ELT pipelines with dbt and Airflow; DAG design.
- Dashboards with Looker/Tableau/Superset or Python visuals.
- Snowflake/Databricks in production; data lake concepts.
- Cross-functional comms; translate tech to business value.
🎁 Benefits
- Remote-first culture, with periodic in-person requirements.
- Team/company offsites multiple times yearly.
- Crypto/financial analytics mission-driven environment.
- Growth-focused culture with feedback and mentorship.
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