Immediate: 1. Audit current data infrastructure and availability in Cloud Firestore 2. Spec and implement a new data warehouse (I.e. Snowflake) 3. Partner with Product to develop a scalable data infrastructure and analytics framework with ever increasing user data 4. Partner with engineering to ensure data flows into an easily queryable solution Ongoing 1. Create and audit data infrastructure as the company, users, and product grows 2. Build well-designed scalable systems to extract, transform, and load data into warehouses from a variety of sources 3. Own data for new products/features: define data sources and architecture, set up data pipeline, design warehouse & reporting, etc. 4. Explore available technologies and design solutions to continuously improve our data quality, workflow reliability, and scalability while reporting performance and capabilities
1. 5+ years of professional experience in data engineering 2. 3-4 years of deep data pipeline experience including data warehouse setup 3. Proven builder - has created & maintained warehouses 4. Excellent written and verbal communication skills - able to clearly communicate needs and directions asynchronously across key stakeholders 5. Experience partnering with Product and Engineering teams on large scale data projects 6. Technical expertise: - Fluency in Python - Knowledge of Kafka & streaming technologies - Machine learning + data modeling expertise a plus
/ Link: https://boards.greenhouse.io/op3n/jobs/4037469006
Map For Jobs — Web3行业的求职地图