Overview

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