Azure DevOps (6+)
Cognizant | 37 days ago | CHENNAI

Location : Bangalore/Hyderabad/Kolkata/Pune/Chennai


Technical Skills: Azure DevOps,Azure Data Factory

Responsibilities : - Develop and implement data solutions using Azure Data Factory to support business objectives. - Oversee the deployment and management of applications using Azure DevOps to ensure continuous integration and delivery. - Collaborate with cross-functional teams to design and optimize data workflows and pipelines. - Provide technical expertise in the development and maintenance of data integration processes. - Ensure data quality and integrity by implementing robust data validation and error-handling mechanisms. - Monitor and troubleshoot data workflows to ensure optimal performance and reliability. - Lead the development of automated solutions to streamline data processing and reduce manual intervention. - Document technical specifications and maintain comprehensive records of data workflows and processes. - Conduct code reviews to ensure adherence to best practices and coding standards. - Mentor junior developers and provide guidance on best practices and technical solutions. - Stay updated with the latest industry trends and technologies to continuously improve data solutions. - Collaborate with stakeholders to gather requirements and translate them into technical solutions. - Provide support and maintenance for existing data solutions to ensure their continued effectiveness. -Qualifications - Possess a strong background in Azure DevOps and Azure Data Factory with hands-on experience. - Demonstrate proficiency in developing and maintaining data integration processes. - Exhibit excellent problem-solving skills and the ability to troubleshoot complex data workflows. - Have a solid understanding of data validation and error-handling mechanisms. - Show experience in automating data processing and reducing manual intervention. - Display strong collaboration skills and the ability to work effectively with cross-functional teams. - Have a keen eye for detail and a commitment to maintaining data quality and integrity.

 

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