Job Description
Data Engineer 6 Lansing, MI On-site: Hybrid position - Onsite 2 days per week Duration: 1 year with possible extension. Job 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 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 Required 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- Nice to have