Data Engineer

pro it-posted 9 days ago
Mid Level
Hybrid • Grand Rapids, MI
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We are looking for a Data Engineer with over 6 years of industry experience in business application design, development, implementation, and solution architecture. The ideal candidate should have experience with Databricks and building and designing data and analytics on enterprise solutions such as: Azure Data Factory Azure Function App Log Analytics Databricks Synapse Power BI ADLS Gen2 Logic Apps

  • 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 overall architecture of enterprise Data Lake and Data Warehouse.
  • Provide subject matter expertise and technical consulting support on vendor or internal applications and interfaces.
  • Develop Azure Function App using C# and .Net Core.
  • Define functional and non-functional requirements, including performance monitoring, alerting, and code management.
  • Partner with business areas to gather requirements for Data and Analytics and design solutions.
  • Define major elements and subsystems and their interfaces.
  • Mentor and coach team members.
  • Engage with ITS Security and Infrastructure teams to ensure secure development and deployment of solutions.
  • Interface with the Product Manager and IT partners to define and estimate features for agile teams.
  • Conduct industry research, facilitate new product and vendor evaluations, and assist in vendor selection.
  • 6+ years of industry experience in business application design, development, implementation, and solution architecture.
  • Experience with Azure Data Factory, Azure Function App, Log Analytics, Databricks, Synapse, Power BI, ADLS Gen2, and Logic Apps.
  • Databricks experience is required.
  • Experience designing data pipelines and implementing data quality, governance, and security compliance in Azure architecture.
  • Bachelor's degree in Computer Science, Computer Information Systems, Business Information Systems, Engineering, or related discipline or equivalent work experience and technical training.
  • Excellent written and oral communication skills.
  • Experience in Power BI, Data Modeling, Data Classification, Data Architecture, and reporting.
  • In-depth understanding of computer, storage, and network components, including backup, monitoring, and DR environment requirements.
  • Data Classification
  • Data Modeling
  • Data Architecture
  • Data Quality Design
  • Network Components
  • Solution Architecture
  • Teamwork
  • Technical Training
  • .Net Core
  • Agile
  • C#
  • Data Warehouse Infrastructure
  • Product Management
  • Functional Requirements
  • Interfaces
  • Research
  • Subsystems
  • Support
  • .Net
  • Python
  • Data Engineering
  • Data Analysis
  • Data Science
  • Preferred knowledge and experience in Python and API architecture in Azure.
  • SAFe certification or training is a plus.
  • Experience with diverse technical configurations, technologies, and processing environments.
  • Exceptional interpersonal skills, including teamwork, facilitation, and negotiation.
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