Snowflake Data Engineer

Note: Looking for a resource with strong Azure Databricks and Epic Operational data.

Must have EPIC Operational data. NOT BILLING DATA. We need data that documents the flow of the patient experience (patient checks in, patient meets doctor, patient is discharged) not the billing at the end.

Must have

• Data bricks
• Dbt (data build tool)
• Sql
• epic operational data.

Tech Stack:

• DBT
• Snowflake
• GIT
• Data Profiling, bleeding a tad into the analyst realm
• Nice to have:
  • CI/CD pipeline experience
  • Healthcare and/or clinical data
  • Epic
  • Azure DevOps
  • Data Modeling

• Perform EDW ETL/ELT ingestions and integrations to ensure support data and analytic needs.
• Build and enhance standard solution that provides efficient and scalable ETL/ELT solutions from multiple data sources.
• Ensure the quality of data assets and robustness of data engineering processes.
• Experience with change control, release management and other ITIL processes.
• Participate in building out EDW on Snowflake, expanding and optimizing the data ecosystem, as well as optimizing data engineering processes.
• Support BI Developers, Data Architects, Data Analysts and Data Scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
• Conduct ETL solution, code, and pre-prod review to ensure optimal data delivery architecture is consistent throughout ongoing projects.
• Perform troubleshooting on ETLs and related components.
• Identify application bottlenecks and opportunities to optimize performance.

Qualifications:

• 7+ plus years of experience designing and building data ingestions and data integration solution for Enterprise Data and Analytics Solutions
• 3+ years of experience with developing data pipelines using on Snowflake features ( Snowpipe, SnowSQL, Snow Sight, Data Streams )
• 2+ years of experience with developing models in DBT
• Demonstrate good knowledge of scrum & agile principles
• Experience with Azure DevOps, Azure Git and CI/CD data pipeline integrations.
• Demonstrates good knowledge of cloud computing platforms such as Azure
• Experience of support and enhance existing Enterprise Data Warehouse or Data Lake
• Ensure designed systems are highly reliable, self-recovering, and require little or no supporting manpower
• Familiar with change control, release management, and other ITIL methodology
• Deep experience in traditional Data Warehousing & Cloud data warehousing
• Mastery of SQL, especially within cloud-based data warehouses like Snowflake
• Experience developing data pipelines using Snowflake features (Snow pipe, SnowSQL, Data Streams, Snow Sight)
• Experience with logical and physical data modeling
• Healthcare experience, most notably in Clinical data, Epic, Payer data and reference data is a plus but not mandatory.
• Ability to clearly and concisely communicate complex technical concepts to both technical and non-technical audiences
• Proven verbal, communication, and presentation skills
• Proven ability to work independently.