HealthStream is looking to solve the problem of improving healthcare outcomes and empowering healthcare professionals by enhancing the quality of healthcare through innovative technology solutions. The company aims to streamline everyday tasks, improve performance, engagement, and safety in the healthcare workforce.
Requirements
- Three or more years’ experience in data warehousing and ETL tools / frameworks.
- Three or more years working experience with programming languages (e.g. Python, Java, SQL), data modeling and database Management systems.
- Two or more years’ experience working in big data technologies such as Kafka, Spark, Hive.
- At least one year of experience with developing data processes using AWS or Azure.
- Proficient using GIT Version using CLI.
- Proficient in DBT using Jinga Templates
- Proficient in understanding Data Pipelines using SQL statements.
Responsibilities
- Design and develop new and tune existing SQL queries as needed
- Design, develop and implement automated solutions to extract data from different sources within Healthstream
- Design, develop and implement automated solutions to ingest data into HealthStream’s data Lake
- Design, develop and implement automated solutions to transform data within HealthStream’s data Lake
- Participate in the on-call rotation to troubleshoot and resolve data issues
- Investigate and resolve data issues as needed.
- Evaluate and implement new data related technologies.
Other
- Must be methodical and able to establish priorities
- Proficient in SDLC methodologies such as Agile and Kanban.
- Strong collaboration and communication skills for working with cross-functional teams.
- Excellent problem-solving skills with the ability to troubleshoot and resolve complex technical issues.
- Experience developing and supporting mission critical applications that function 24 hours a day, 7 days a week
