Responsibilities

• Design and build user-friendly data platforms upon which data scientists can easily test and deploy models to production.

• Scope, design and build tools for internal users to increase their efficiency ten-fold.

• Improve and maintain data platform uptime

• Design and implement customer facing data services and products from end to end.

• Work closely with analysts and data scientists to deeply understand business problems and be a guiding voice in architecting the solutions.

• Build and maintain robust, observable data pipelines.

• Maintain a strong data driven culture within the company by interacting with diverse internal functions.

Requirements

• Experience with data pipelines and data warehousing, such as Big Query and Snowflake.

• Experience working with SQL or NoSQL databases

• Familiarity with software engineering development cycles

• Experience working with backend programming languages (Java, Kotlin, Python)

• Ability to hold yourself and the team to high standards

• Strong communication and interpersonal skills

Bonus points

• Experience with Airflow, SQL, python, kafka, live processing

• Familiarity with functional programming languages

• Strong writing skills

• Proactive approach

• Experience as a project lead