Senior Data Engineer

Responsibilities:

● 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. 

Requirements:

● 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