Seeking a skilled Packaged/SaaS Application Engineer to configure and support packaged or SaaS applications. This role involves managing releases and ensuring system stability, leveraging standard tools, APIs, and low-code platforms to meet business needs while maintaining compatibility and performance.

Design and implement robust Azure Data Factory (ADF) pipelines for efficient data migration. Build scalable solutions for loading data from Azure Blob Storage into Dataverse, Mambu, and Azure SQL. Develop resilient migration processes with retry and recovery mechanisms. Optimize migration performance through advanced batching, parallelism, and workload tuning. Establish comprehensive monitoring, logging, auditing, and reconciliation processes. Manage migration execution during critical testing phases, dress rehearsals, and production cutovers. Collaborate effectively with Data Architects, Data Quality teams, Testing teams, and Business SMEs. Provide support for troubleshooting, issue resolution, and migration reporting. Ensure adherence to security, governance, and operational standards.

A minimum of 6 years of experience in Data Engineering or Data Migration is required, with at least 3 years focused on hands-on Azure Data Factory. Proven experience loading millions of records into cloud platforms and expertise in API-based integrations and cloud-native architectures are essential. Candidates should also have experience supporting migration testing, dress rehearsals, and production cutover activities. Knowledge of Mambu Core Banking, Dynamics 365 migration, Azure Functions, Logic Apps, Service Bus, Power Platform, Databricks, financial services/banking domain, K2View, and data quality/governance is considered advantageous.