Advanced programming language skills (python, r, sql)
Advanced knowledge of etl tools
Utilizing deep technical expertise the Data Engineer is responsible for designing and building the processes and infrastructure of data necessary for analytical and operational use cases
Job Summary
Utilizing deep technical expertise the Data Engineer is responsible for designing and building the processes and infrastructure of data necessary for analytical and operational use cases.
The Data Engineer reports to the Manager, Analytics Infrastructure on the Memorial Hermann Digital Analytics Team and leads creation of data flows to extract, transform and load the data and works closely with other members of the Digital Team and Analytics Community to ensure adherence to data quality and data governance standards.
Demonstrates commitment to caring for every member of our community by creating compassionate and personalized experiences.
Matching Summary
Utilizing deep technical expertise the Data Engineer is responsible for designing and building the processes and infrastructure of data necessary for analytical and operational use cases.
Skills & Requirements
Must-have
Expert SQL Experience
Advanced programming language skills (Python, R, SQL)
Advanced knowledge of ETL tools
Designing highly-tuned datasets
Cloud infrastructure experience
Data warehousing projects
Nice-to-have
Creating compassionate and personalized experiences
Prioritizing safety, compassion, personalization and efficiency
Contributing to healthier communities
Data-informed decision-making
Key Requirements
Bachelor’s Degree in Computer Science, Electrical Engineering, Mathematics, Computer Applications, Information Systems or Engineering, or four (4) years of equivalent experience
Five (5) years of experience in data warehousing
Minimum of one (1) year experience in Snowflake preferred or experience in other data warehousing