Job Summary (List Format) Data Engineer #142074
Serve as technical lead for analytical assignments enhancing integrating maintaining and implementing various projects.
Provide technical oversight and mentorship to other developers on the team.
Lead design and development of scalable highperformance solutions utilizing AWS services.
Develop and maintain data pipelines and ETL processes.
Program efficiently in Python and/or Scala.
Utilize AWS Cloudbased application development and related tools.
Implement and manage Elasticsearch and Kibana for effective data retrieval and analysis.
Work with Databricks for data engineering tasks.
Design both logical and physical database models and develop database objects (e.g. stored procedures functions).
Work with Oracle databases extensively.
Ensure data integrity data warehousing and employ data visualization tools.
Gather requirements and write functional/technical specifications for complex projects.
Develop software design documentation and collaborate with stakeholders for review/approval.
Utilize source control tools such as GIT.
Create flowcharts screen layouts and other documentation to ensure the logical flow of system requirements.
Participate in and support large agile project environments including testdriven development.
(Nice to have) Create CI/CD pipelines using Azure DevOps.
Experience in Electronic Health Records (EHR) HL7 solutions is required.
Support and enhance critical health information systems to prevent outages and ensure data accuracy.
Must be able to work onsite 2 days a week in Lansing MI; local candidates only.