Data Engineer

Job ID: MI-142074

Hybrid/Local Data Engineer (15 ) with Databricks, Elastic search, Kibanna, S3, AWS, Cloud, Python/Scala, agile, Oracle, CMM/CMMI, data warehousing/visualization Tools/integrity, CI/CD, GIT, Azure Devops, HL7 experience

Location: Lansing, MI (DTMB)
Duration: 12 Months
Position: 1

Skills:
12 years developing complex database systems.
8 years Databricks.
8 years using Elastic search, Kibanna.
8 years using Python/Scala.
8 years Oracle.
5 years experience with Extract, Transform, and Load (ETL) processes and developing Data Pipelines.
5 years experience with AWS.
Over 5 years experience with data warehousing, data visualization Tools, data integrity .
Over 5 years using CMM/CMMI Level 3 methods and practices.
Over 5 years implemented agile development processes including test driven development.
Over 3 years Experience or Knowledge on creating CI/CD pipelines using Azure Devops- Nice to have

Description:
The position is responsible for providing ongoing maintenance and support of the Michigan Disease Surveillance System (MDSS).
MDSS is a complex application that supports communicable disease surveillance, registries, and case management systems that are
critical to supporting effective responses to public health emergencies and reducing the burden of communicable diseases. MDSS is
going through modernization to enhance stability and functionality of the system. With phase 1 already completed. The resource is
integral to developing and maintaining and enhancing MDHHS MDSS phase 1. Making sure automated processes are functioning,
streamlining critical business processes, data integrity, SEM/SUITE compliance, and securing the application. The resource also
performs as a technical lead and provides technical guidance to the other developers in the department. As a technical lead, the
resource participates in a variety of analytical assignments that provide for the enhancement, integration, maintenance, and
implementation of projects. The resource will also provide technical oversight to other developers in the team that support other
critical applications . Not having a resource on staff will lead to MDHHS failing to maintain, enhance, and support the modernized
MDSS that can lead to errors causing application outages, data integrity issues and can eventually lead to incorrect information being

processed and reporting of the patient information.
Lead the design and development of scalable and high-performance solutions using AWS services.
Experience with Databricks, Elastic search, Kibanna, S3.
Experience with Extract, Transform, and Load (ETL) processes and data pipelines.
Write clean, maintainable, and efficient code in Python/Scala.
Experience with AWS Cloud-based Application Development
Experience in Electronic Health Records (EHR) HL7 solutions.
Implement and manage Elastic Search engine for efficient data retrieval and analysis.
Experience with data warehousing, data visualization Tools, data integrity
Execute full software development life cycle (SDLC) including experience in gathering requirements and writing

functional/technical specifications for complex projects.
Excellent knowledge in designing both logical and physical database model
Develop database objects including stored procedures, functions,
Extensive knowledge on source control tools such as GIT
Develop software design documents and work with stakeholders for review and approval.
Exposure to flowcharts, screen layouts and documentation to ensure logical flow of the system requirements
Experience working on large agile projects.
Experience or Knowledge on creating CI/CD pipelines using Azure Devops.