Data EngineerLansing, MI On-site: Hybrid position - Onsite 2 days per week Duration: 1 year with possible extensionJob Description: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 DevelopmentExperience 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 integrityExecute 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 modelDevelop database objects including stored procedures, functionsExtensive knowledge on source control tools such as GITDevelop 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 requirementsExperience working on large agile projects.Experience or Knowledge on creating CI/CD pipelines using Azure DevopsRequired Skills:Developing complex database systems.Databricks. Elastic search, Kibanna. Python/Scala.
Oracle.Experience with Extract, Transform, and Load (ETL) processes and developing Data Pipelines.Experience with AWS.Experience with data warehousing, data visualization Tools, data integrity.CMM/CMMI Level 3 methods and practices.Implemented agile development processes including test driven development.Experience or Knowledge on creating CI/CD pipelines using Azure Devops
Job Data Engineer in Lansing, MI for Hybrid Work in lansing at Unknown Company
This position is listed as full time and hybrid.