Develop automated backend data systems to collect and sanitize data on accounts for Motive’s sales team. Build integrations with third party systems and data partners, improve the quality of Motive’s account database
Expand the functionality of our internal distribution engine which assigns accounts to the 1,000+ sales reps at Motive. Implement systems which prioritize and assign prospect accounts to our Sales team
Enhance sales efficiency by implementing enhanced data and machine learning processes. Become the subject matter expert on how our account data is collected, expanded, maintained and used within our sales process.
What We’re Looking For
6+ years of experience in data engineering development,
Strong experience in designing and implementing highly scalable Python data systems and services. Experience in object oriented programming and
Experience in SQL, data modeling and data architecture optimized for big data patterns.
Previous experience in big data and warehousing technologies like Snowflake, Redshift, etc..
Previous experience in machine learning or analyzing big volumes of data preferred
Good understanding of operations and building distributed systems at scale. Experience with CICD, containerized platform development like Docker and Kubernetes, Airflow, Cron, …
Excellent verbal and written skills. You collaborate effectively with other teams and communicate clearly about your work.