Role Responsibilities:
- Build scalable data pipelines and infrastructure that power internal business analytics and customer-facing data products.
- Create automated monitoring and alerting processes to ensure data quality and consistency.
- Work with business teams to implement data strategies and develop conceptual/logical/physical data models.
Required Experience:
- 5+ years in a data engineering role with experience building scalable data pipeline and platform solutions.
- 3+ years designing data pipelines and models for ingesting and transforming large data volumes into a dimensional data warehouse.
- Expert proficiency in SQL and strong Python proficiency, with experience in tools like Snowflake, dbt, and Airflow.
Company & Team Environment:
- The centralized Data and Analytics team delivers critical analytic capabilities and insights for Recharge's business and customers.
- You will influence all levels of stakeholders, including analysts, developers, business users, and executives.
- The culture champions values such as #day-one, #ownership, #empathy, and #humility.