Senior Analytics Engineer
Core
Building dimensional models, data marts, and transformation pipelines to support data analytics and science needs across the organization.
Role type
Senior Analytics Engineer
Builds
Data Warehouse, data marts, and transformation pipelines for a fintech platform serving 6 million members.
Domain
Fintech / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Dimensional modeling, SQL performance tuning, ETL/Transformation tools (dbt), Cloud environments (AWS/GCP), Python/Scala programming, Data quality management, BI tool development (Looker)
Preferred skills
dbt modeling, Looker development, MPP databases (BigQuery), Financial services domain experience, D2C domain experience
Technologies
dbt, Airflow, BigQuery, Looker, AWS, GCP
Responsibilities
Build data warehousing and data modeling strategy and roadmap; Design and build data transformation pipelines and aggregation layers; Implement scalable data models housing complex data sets; Support Looker as a primary data reporting tool; Partner with data engineers to build data integrations and infrastructure; Implement framework and processes for data reconciliation and quality management.
Seniority
Senior, hands-on IC