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, Databricks, Azure Synapse Analytics, Azure Data Lake. Databases & Storage: SQL Server, Azure SQL Database, Blob Storage, Synapse Analytics. Cloud Integration: Connect and integrate data sources from on-premise, cloud, and third-party APIs into Azure-based systems. Performance Optimization: Monitor and enhance query performance, cost efficiency, and scalability of the data platform. Automation and DevOps: Implement CI/CD pipelines 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 and 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 recurring issues. Work closely with the team, providing guidance and resolving critical incidents. Data Pipeline Management: Manage and optimize ETL/ELT pipelines in Azure Data Factory and Databricks. 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 teams 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. Collaborate with Adobe support and Microsoft Azure teams for escalations and resolutions. Performance Tuning & Optimization: Monitor and improve Azure Data Factory pipeline execution times and Databricks cluster performance. Fine-tune query performance for large-scale data ingestion. Ensure Adobe Campaign Classic campaigns run efficiently with optimized data input. Documentation & Knowledge Sharing: Maintain SOPs, troubleshooting guides, and runbooks. Conduct training sessions on Azure Data Factory, Databricks, and Adobe Campaign Classic best practices. Document incident resolutions and RCA reports for future reference. Preferred but not mandatory: Generic managerial skills. The candidate must primarily be a technical lead with hands-on development expertise. Salary Range: $90,000 - $110,000 per year Benefits include: Discretionary annual incentive, comprehensive medical coverage, family support, insurance options, professional growth opportunities, time off, and legal & financial assistance. #J-18808-Ljbffr Tata Consultancy Services
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