Analytics Data Engineer

5+ years of experience in a Software Engineering role.
Consistent self-motivation and passion for coding and data
Excellent written and verbal communications skills
Familiarity with Python and SQL
Familiarity with version control concepts and tools (such as GitHub/GitLab)
Understanding of SDLC (Software Development Life Cycle), Continuous Integration, Quality Assurance, and Agile Methodologies
Dedicated to crafting an effortless user experience

Support data pipelines critical to data science and machine learning workflows
Contribute to cutting-edge Generative AI projects that bring innovation to life for our guests and cast members
Develop data automation and requirements
Accurately identify root cause of issues
Supply quick defect fixes
Participate in a “stand up” status meeting
Deploy solutions that match customer requirements
Regularly document changes and proactively updates progress in the request system
Make suggestions on new approaches to drive adoption, efficiency, quality, or reliability
Communicate effectively with technical and non-technical teams, in support of DX partners
Follow corporate policies and laws regarding software development, data privacy and security
Independently learn new engineering practices to keep current with the latest technology

Experience with Java, Springboot Framework, and/or R.
Proficiency with Python and SQL
Familiarity or experience with Cloudera Data Platform Ecosystem, PySpark.
Understanding of Artificial Intelligence, Generative AI, and Machine Learning concepts.
Experience building or supporting data pipelines for data science or machine learning applications
Experience in Generative AI tools, models, or workflows
Master’s degree in computer science or related field