Related skills
looker sql grafana python dbt📋 Description
- Build canonical FinTech data schema with well-structured tables.
- Design, develop, and operate ELT pipelines for varied sources.
- Architect BI layer in Looker/Superset for self-serve dashboards.
- Translate business questions into concrete technical solutions.
- Ensure data is accurate, complete, timely with testing/monitoring.
- Share best practices in governance and participate in mentoring.
🎯 Requirements
- 5+ years in Analytics Engineering or Data Engineering at scale.
- Expert SQL and Python for data automation and manipulation.
- Experience with Airflow to schedule and monitor pipelines.
- Strong dbt experience for warehouse transformations.
- Deep BI tooling experience (Looker, Superset, Grafana) with data modeling.
- Git, CI/CD, and data testing/quality practices.
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