Data Engineer

Job Title: Contract based Data Engineer - Location: Grand Rapids, MI/ Hybrid - Contract Duration: 7+ months - Responsibilities: - Design, code, test, and implement data movement, dashboarding and analytical assets. - Develop system documentation according to SAFe Agile principles and industry standards. - Evaluate architectural options and define the architecture of enterprise Data Lake and Data Warehouse. - Provide subject matter expertise and technical consulting support on Azure Data Factory, Log Analytics, Databricks, Synapse, Power BI, ADLS Gen2. - Define functional and non-functional requirements including performance monitoring, alerting, and code management. - Partner with all areas of the business to gather requirements for Data and Analytics and design solutions. - Mentor and coach other members of the agile and/or Run team. - Drive engagement with ITS Security and Infrastructure teams to ensure secure development and deployment of solutions. - Interface with the Product Manager and IT partners at the Program level and within other Release Trains to define and estimate features for agile teams. - Conduct industry research, facilitate new product and vendor evaluations, and assist in vendor selection. - Qualifications: - 6+ years industry experience in business application design, development, implementation, and/or solution architecture. - Understanding of architecture practices for large projects / programs. - Experience with Azure - Data Factory, Log Analytics, Databricks, Synapse, Power BI, ADLS Gen2. - Databricks experience is required. - Experience designing data pipelines, ingestion, storage, prep-train, model and serve using Azure technologies. - Bachelor’s degree in computer science, Computer Information Systems, Business Information Systems, Engineering or equivalent. - Excellent written and oral communication skills. - Previous experience in Power BI, Data Modeling, Data Classification and zones, data movement, Data architecture and reporting. - In-depth understanding of computer, storage, network components including backup, monitoring, and DR environment requirements. - Preferred knowledge and experience on Python and API architecture in Azure. - Any SAFe certification or training. - Experience with multiple, diverse technical configurations, technologies, and processing environments. - Exceptional interpersonal skills, including teamwork, facilitation, and negotiation.