● Work closely with our product, business and R&D teams to design our data architecture
● Choose the tools and system architecture for our data infrastructure
● Implementation of a new data infrastructure
● Building and owning data pipelines and services that support our data platform.
● Working with the integration team on data acquisition efforts.
● Working with the data science team on implementing ML models in production and bringing data products to production, including MLops.
● 5 years experience in data engineering
● Experience with data architecture and data infrastructure - data modeling, data warehousing, building ELT/ETL pipelines, including data pipeline tools
● Experience with CDC and Data Streaming
● Experience with NoSQL DBs
● Knowledge of Data Mesh principles
● Working with Cloud (i.e. AWS), Data Warehouse Solutions (i.e. Snowflake), Databricks etc.
● Advanced knowledge of Python and SQL
● Experience with building embedded analytics in a SaaS platform
● A team player with good communication skills
● BA/BS in Computer Science or engineering
● Advantage: Data Quality Tools, Data Governance and Data Privacy