Developer

Must Have Technical/Functional Skills-

Azure Data Lake Store, Azure Data Lake Analytics, Azure Synapse Analytics, Azure Stream Analytics, Azure Event Hub, and Azure Data Factory, pySpark, Bigdata. Azure services, Service bus, Event trigger, APIM connectivity, Function App

Roles & Responsibilities

• Analyze, design, and build modern data solutions using Azure PaaS service to support visualization of data.
• Understand current production state of application and determine the impact of new implementation on existing business process
• Able provide efficient solutions to Extract, Transform and Load data from source systems to Azure Data Storage services using combination of Azure Data Factory, T-SQL, pySpark, Scala and Azure Data Lake Analytics. Data ingestion to one or more Azure Services (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and processing the data in Azure Data Bricks
• Design service bus using function app, event trigger, establish APIM connectivity
• Able to create pipeline using Linked Services/Datasets/Pipeline/to Extract, Transform, and load data from different sources like Azure SQL, Blob Storage, Oracle, SharePoint, Azure SQL Data warehouse.
• Responsible for estimating the cluster size, monitor and troubleshooting of the spark data bricks cluster
• Ability to Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Ability to work on various aspects of Data transformations and Data Modelling.
• Ability to design process, principles, and technology choices for using Azure Synapse to build a secure data lake house solution
• Helping operation and developers’ teams to solve their problems.
• Communication to Leadership & Stakeholders re Accomplishments, Deliverable Status & Challenges
  
  

Salary Range- $90,000-$120,000 a year