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Data Engineer
Skills
Analytical SkillsAnalyticsBusinessDashboardsData AnalyticsEngineeringGoogle Cloud Platform
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's degree in healthcare analytics statistics finance business or related field
- Master’s degree preferred
- Experience with relational databases
- Strong understanding of database structures theories principles and practices
- Working knowledge of Python Spark and SQL
- Knowledge of SDLC practices including documentation coding standards code reviews source control build processes testing and operations
- Familiarity with normalized dimensional star schema and snowflake models
- Working experience with Databricks preferred
- Familiarity with BI or visualization tools such as Tableau or PowerBI preferred
- Strong written and oral communication skills
- Experience with Excel
- 2+ years of experience in data and analytics
- 2+ years of experience using version control
- 2+ years of experience in managed care or healthcare data preferred
- 1+ years using cloud services from AWS GCP or Azure
Nice to have
- Analytical
- Detail-oriented
- Collaborative
- Innovative
- Self-motivated
Day to day
- Produce high quality and highly available data models that are intuitive for analysts and trusted by stakeholders
- Build scalable ELT pipelines and business intelligence dashboards while automating wherever possible
- Apply data quality checks and metrics to identify issues and distributional shifts in source data
- Develop deep domain knowledge in healthcare operations and support analytics products with accurate data engineering practices
