Description

You will apply data science and machine learning techniques to manage data warehousing and software development workflows.

Responsibilities

  • Manage data warehouse architectures and data lake integration.
  • Develop and maintain RESTful APIs and web service integrations.
  • Architect full-stack applications for Business Intelligence insights in enterprise environments.
  • Integrate front-end analytics platforms with back-end data processing technologies.
  • Deploy applications using container orchestration tools.

Required Skills

  • 5+ years of experience in software development and data engineering.
  • Proficiency in Python and JavaScript.
  • In-depth knowledge of Snowflake and data lake technologies.
  • Experience with Postgres and MySQL databases.
  • Hands-on experience with Docker and Kubernetes.
  • Practical application of Machine Learning and Data Science principles.
  • Bachelor's or master's degree in Computer Science, Data Science, Computer Engineering, or a related field.

Preferred Skills

  • Experience architecting full-stack applications for enterprise Business Intelligence.
  • Ability to solve complex data challenges through analytical problem-solving.

Education

Bachelor's degree