Azure Databricks c2c contract jobs Grand Rapids, MI

Role:                               Azure Databricks
Location:                     Grand Rapids, MI / ONSITE
Duration:                     Long Term Project
Experience:               14+
Client:                           Capgemini/End client

Job Description:
• Must have good Knowledge on Architecture Design and should be able to provide solutions on any New Requirement.
• Defines functional and non-functional requirements including performance monitoring, alerting
and code management and ensuring alignment with technology best practices and SLAs.
• Hands on Experience both as Data engineer/Developer and Administration of Databirkcs
• Providing subject matter expertise and technical consulting support on either vendor or internal
applications and interfaces including Azure – Data Factory, Log Analytics, Databricks, Synapse,
Power BI, ADLS Gen2, Polybase and Machine Learning/AI.
• Experience on Azure Service – Focused on Function App, Messaging Services, Data Factory, Azure Permissions, Cosmos DB, Logic Apps, Synapse DWH
• Experience building and designing data and analytics on enterprise solutions such as Azure –
Data Factory, Log Analytics, Databricks, Synapse, Power BI, ADLS Gen2, Polybase and
Machine Learning/AI.
• Experience designing data pipelines, ingestion, storage, prep-train, model and serve using above
technologies, Automating Azure Workloads, Data quality, Governance/standards, Security and
legal compliance in the Azure architecture

Experience in:
• Evaluates architectural options and defines overall architecture of enterprise Data Lake and
Data Warehouse.
• Driving engagement with ITS Security and Infrastructure teams to ensure secure development and
deployment of solutions.
• Conducting industry research, facilitates new product and vendor evaluations, and assists in vendor
selection.
• Previous experience in Power BI, Data Modeling, Data Classification and zones, data movement, Data
architecture and reporting
• In-depth understanding of computer, storage, including backup, monitoring and
DR environment requirements
• knowledge and experience on Python or Scala or Pwershell and API architecture in Azure
• Experience with multiple, diverse technical configurations, technologies, and processing environments.
• Good to have knowledge on Azure DevOps and Google Cloud.