Bachelors in Engineering, preferably Computer Science Engineering.

5+ years of experience building robust and production-grade data pipelines and data models.

Strong understanding of data modelling for AI products.

Hands-on experience working with large volumes of structured and unstructured data.

Strong proficiency in Python and SQL.

Experience working in a cloud environment, like GCP, AWS, Azure.

Proficiency with modern software development methodologies such as Agile, source control, CI/CD, etc.

Strong problem-solving capabilities. Results oriented. Relies on fact-based logic for decision-making.

Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines.

Willing to flex daily work schedule to allow for time-zone differences for global team communications.

Data Engineer