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.