Provide thought leadership and technical expertise across multiple disciplines, owning the full life cycle of IT solutions from analysis to delivery
Job Summary
Provide thought leadership and technical expertise across multiple disciplines, owning the full life cycle of IT solutions from analysis to delivery.
Develop rock-solid, scalable systems aligned to established architecture guidelines and patterns, actively partnering with stakeholders.
Enforce modern delivery practices such as continuous integration and behavior/test driven development within agile teams.
Matching Summary
Provide thought leadership and technical expertise across multiple disciplines, owning the full life cycle of IT solutions from analysis to delivery.
Skills & Requirements
Must-have
Databricks Generative AI certification
Python scripting
Data Management & SQL expertise
Teradata & Snowflake
Databricks
Master Data Management technologies
Reltio and Informatica MDM
PySpark
Agile teams (Scrum or Kanban)
AWS
Glue, Terraform, Lambda, Aurora, Redshift, EMR
Git, SVN
Agile CI/CD environments
Jenkins
Healthcare information domain
Nice-to-have
Thought leadership
Technical expertise across multiple disciplines
Full life cycle project ownership
Scalable systems
Architecture guidelines and patterns
Business requirements analysis
Gap analysis
Data profiling
Modern delivery practices
Key Requirements
Bachelor's degree in Computer Science, Electronics Engineering, or closely related field, and 5 years of Data and Analytics Engineering experience OR Master's degree and 3 years of experience