Data Engineer developing data infrastructures and pipelines for Motive's Enterprise clients. Collaborating across teams to enhance data processing with modern tools and frameworks.
Responsibilities
Build data pipelines based on product data, which will go into our product for Enterprise customers
Architect and design data models in collaboration with data and product teams
Communicate effectively across multiple teams and projects.
Actively work on deploying Data Ops into Motive, driving the most robust data models using the latest tools in the market
You will be working with airflow, aws, data observability tooling and table creation frameworks similar to dbt.
Requirements
Bachelor's degree or higher in a quantitative field, e.g. Computer Science, Math, Economics, or Statistics
6+ years of experience in Data Engineering, including experience building modelled tables
Strong applied knowledge in SQL, Python and modern data engineering stack (dbt, airflow, AWS)
Willingness to learn new technologies
Solid communication, collaboration, and people skills
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