Build and Optimize Data Infrastructure: Manage and implement scalable data pipelines using Airflow for orchestration and dbt for transformation to ensure efficient data flow and processing.
Enable Data-Driven Decisions: Develop data models and metrics that facilitate critical analysis for business decisions.
Empowerment: Proactively evaluate and evolve our tool stack to support stakeholders to make answering questions with data as frictionless as possible.
Collaboration and Systems Thinking: Partner with product managers, analysts, and other engineers to design data solutions and processes for business needs.
Requirements
5+ years of relevant experience
Deep understanding of big data warehouses (BigQuery, Snowflake, Redshift)
Strong proficiency in SQL and comfort working with Python
Experience managing data platform tooling, such as data ingestion, reverse ETL, visualization, data observability, alerting, etc.
Ability to communicate technical information to non-technical stakeholders clearly and effectively
Benefits
Health insurance
Stock options
Professional development opportunities
Flexible working arrangements
Paid time off
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data pipelinesAirflowdbtdata modelsSQLPythondata ingestionreverse ETLdata visualizationdata observability