Current, a leading U.S. fintech, is looking to improve financial outcomes for its nearly 4 million members by building better products and growing faster, and this role will contribute to the future of Current’s growth and serving data analytics and science needs of various teams at Current.
Requirements
- Fluent in building data transformation pipelines, dimensional models and data marts. using one or more ETL or Transformation tools(Preferred: dbt)
- Proficient in dimensional modeling concepts to power meaningful analytics.
- 1+ year of experience building meaningful metrics, reports and dashboards in BI/reporting tools like (Preferred: Looker).
- Strong expertise in SQL and performance tuning.
- Experience working with services in cloud environment(s) like AWS or GCP.
- Programing experience in Python, Scala or other language(s)
- Focus on data quality, integrity and security
Responsibilities
- Contribute in building data warehousing and data modeling strategy and roadmap.
- Build core data models and data marts in the Data Warehouse.
- Design and build data transformation pipelines, dimensional models, data marts and data aggregation layers in dbt, Airflow and Bigquery.
- Implement scalable and easy to use data models housing complex data sets
- Support Looker as a primary data reporting and analytics tool and build core data models in Looker to easily do sophisticated data analysis
- Drive requirements for data infrastructure and engineering teams to build data integrations, robust tools and infrastructure.
- Implement framework and processes for data reconciliation and quality management.
Other
- 4+ years of experience working as a data engineer or analytics engineer.
- Competitive salary
- Meaningful equity in the form of stock options
- 401(k) plan
- Discretionary performance bonus program
