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 Databricks
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 Powershell 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.