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Azure Data Engineer

No of Positions  No of Positions:   1

location Location: Kozhikode/Calicut

date Tentative Start Date:   April 18, 2023

Work From Work From : Onsite

rate Rate : $ 12  -  14 (Hourly)

experience Experience : 3 to 4 Year

Job Applicants : 13
Job Views : 474
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Job Category : Information Technology & Services
Duration : 3-6  Month
Key Skills Required Skills
Azure Data Engineer Azure Data Factory

Azure Data Engineer Responsibilities: - 
• Assure that data is cleansed, mapped, transformed, and otherwise optimised for storage and use according to business and technical requirements considering existing Data Models 
• Manage and Improvise existing Data Models. 
• Develop and maintain innovative Azure solutions. 
• Solution design using Microsoft Azure services and other tools. 
• The ability to automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.) 
• Load transformed data into storage and reporting structures in destinations including data warehouse, high speed indexes, real-time reporting systems and analytics applications. 
• Build data pipelines to collectively bring together data using Azure Data Factory. 
• Other responsibilities include extracting data, troubleshooting, and maintaining the data warehouse. 
• Process & Governance automations. 
• Identify repeat issues or service risks, Discuss with team and fix. 

Qualifications: - 
• Previous experience as an Azure Data Engineer or similar role will be an addon. 
• Experience building and optimising 'big data' data pipelines, architectures, and data sets. 
• Strong analytic skills related to working with data models. 
• Strong problem-solving skills. 
• Flexible and Adaptable 
• The ability to design and implement professionally written code following standards. 
• Ability to work to tight deadlines without time bound. 
• Ability to test the data from source to the presentation layer. 
• Ability to support/troubleshoot data pipelines.Confident and concise communication skills, with the ability to drive alignment, collaboration, and efficiency within teams.

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