Senior RunOps Azure Data Engineer:
Must Have Technical/Functional Skills
• A Minimum of 5 Years' experience
• Design & Develop data pipelines ETL/ELT solutions using Azure Data Factory, Databricks, and Synapse Analytics to process structured and unstructured data.
• Implement and manage Azure Data Lake, Azure SQL Database and other data storage solutions.
• Optimize data workflow and ensure data integrity using SQL/Synapse and other tools on Azure.
• Azure Data Services: - Azure Data Factory, Databrick, Azure Synapse Analytics, Azure Data Lake.
• Databases & Storage: -SQL Server, Azure SQL Database, Blob storage, Synapse Analytics.
• Cloud Integration: Connect and integrate data source from on-prime, cloud and third-party APIs into Azure -based System.
• Performance Optimization: Monitoring and enhance query performance, cost efficiency and scalability of data platform.
• Automation and DevOps: Implement CI/CD pipeline for data workflows using Azure DevOps with tools like ARM templates.
Roles & Responsibilities
Production support & Monitoring:
• Act as the primary escalation point for complex issues related to Azure Data factory, Databricks.
• Monitor and troubleshoot data ingestion pipelines to ensure smooth data flow for digital marketing campaigns.
• Perform root cause analysis (RCA) and implement permanent fixes for recuring issues.
• Working Closely with team, providing guidance and resolving critical incident.
Data Pipeline Management (Azure Data factory & Databricks)
• Manage and optimize ETL/ELT pipeline in Azure Data Factory and Databricks for data ingestion.
• Implement data validation and error -handling mechanisms to maintain data integrity.
Adobe Campaign Classic Support & Digital Marketing data integration:
• Ensure seamless data flow from Azure to Adobe Campaign Classic for marketing campaign execution.
• Support Campaign team by troubleshooting data sync issues, segmentation errors and delivery failures
Incident & Problem management:
• Handle high priority incidents, perform impact analysis and communicate resolution timelines.
• Implement long-term fixes and preventive measures to minimize recurring issues.
• Work with Adobe support and Microsoft Azure team for vendor escalations and resolution.
Performance Tunning & Optimization:
• Monitor and improve Azure data factory pipeline execution times and data bricks cluster performance
• Fine-Tune query performance for large -scale data ingestion.
• Ensure Adobe Campaign classic campaigns run efficiently with optimized data input.
Documentation and Knowledge Sharing
• Maintain Detailed SOPs, troubleshooting guides and runbooks.
• Conduct training session for team members on Azure Data factory, data brick and Adobe Campaign classic best practices. Document incident resolutions and RCA reports for future reference.
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