- Design and implement scalable data pipelines for ingesting, processing, and storing large datasets from various sources, ensuring data quality and integrity for downstream analytics.

- Lead a team of data engineers, providing technical guidance and mentorship to foster their growth and development, ultimately enhancing team performance.

- Collaborate with data scientists and analysts to understand their data needs and develop solutions that enable them to perform advanced analytics and build machine learning models, driving data-informed decision-making.

Qualifications :

- Bachelor's degree in Computer Science or equivalent work experience

- 8+ years of experience contributing to ETL (Extraction Transform Load) or ELT (Extraction Load Transform) pipelines

- Strong command of Python and experience building production web applications using Python

- Experience with relational databases (Postgresql preferred), data modeling and database design

- Experience with cloud based services (AWS RDS preferred)

- Experience developing on (or administering) BI / data visualization platforms (ex. Looker, Tableau, PowerBI, Mode, Data Studio, Domo, QlikView etc.).

- You must be flexible and adaptable-you will be operating in a fast-paced startup environment