Advanced SQL knowledge and experience with relational databases
Experience building and optimizing data pipelines and architectures
Experience with programming to develop ETL
Experience performing root cause analysis on internal and external data and processes
Strong analytic skills with unstructured datasets
Build processes supporting data transformation and other data needs
3+ years experience in a Data Engineer role
Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or a similar field
Experience with Database Administration and Maintenance
Experience with big data tools: Azure Data Factory/Synapse
Experience with relational SQL, including Postgres and SQL Server
Experience with Analytics Tools: Power BI
Experience with Microsoft Azure cloud services
Experience with scripting languages: Python, Java, C++, Scala, Go
What the job involves
Responsible for expanding and optimizing data and data pipeline architecture. Optimizing data flow and collection for cross-functional teams. Support software developers on data initiatives and ensure optimal data delivery architecture.
Build the infrastructure required for optimal extraction, transformation, and loading of data from various sources using SQL and Azure cloud technologies.
Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
TapestryHealth is dedicated to transforming post-acute care through advanced technology solutions, particularly for skilled nursing facilities. By integrating AI and proactive management techniques, we aim to enhance patient care and operational efficiency, ensuring a 24/7 safety net for residents while reducing readmissions.