Data Engineer
Job Requirements:
- Experience with Microsoft Azure services like Azure Data factory, Azcopy, Azure Data lake store (ADLS), Azure Data Bricks, Azure synapse analytics, Azure Logic Apps, Azure Devops to ingest the data from On premises database to Azure Datalake (Data Ingestion).
- Good Experience in pipelines creation to process, transform, manage, report and compute the data in Azure Data Factory, Azure data bricks, Azure Synapse Analytics and Power BI.
- Good experience with Continuous Integration/Continuous Delivery (CI/CD) process for deployments using VSTS, Azure Devops.
- Good Experience in creating Build and Release pipelines in VSTS environment for deployments.
- Experience with PowerShell commands for Azure deployments.
- Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, etc.
- Assume additional responsibilities as assigned/required.
- Experience in Microsoft Dynamics AX2012.
- Experience with Design TDD’s, debugging, customizing of functionalities built on Microsoft Dynamics AX.
- Good expertise about creation of Tables, Classes, Forms, Reports, Menu Items, Menus and Query framework that involves AOT queries & X++ queries using X++ and MorphX IDE.
- Good knowledge on the development of AX 2012 SSRS Reports as per client requirements.
- Having Knowledge on Role base Security, Number sequence, DIXF Framework.
Cloud Technologies | Azure data factory (V2), Data Bricks, Azure data lake store(ADLS), Azure synapse Analytics, Datawarehousing, AZ copy, Azure Logic Apps, Event hubs, Azure Devops, Azure Log analytics, Power BI, ETL. |