Job Title

Scope:Migration Assurance PackageConversion and Unit TestingDatabricks will oversee CT team’s conversion, re-conversion, and testing from predetermined data/code snapshot and validate that syntax compiles successfully in Azure Databricks in the DEV environment/workspace. Assist in the resolution of any issues arising from conversion and unit testing.Re-configuration/conversion of remaining xx jobs as neededDXC to retrieve remaining files from SFTP serverData Validation TestingOversee the execution of data validation testing using standard data validation hierarchy (row counts, column-level checks, row-level checks, data subset checks) with a DEV data set (or Production snapshot) in a QA environment/workspace. Databricks will assist in the review and resolution of common or recurring issues related to testingIntegration & User Acceptance testingOversee the execution of End-to-End integration testing, which is defined as a functional data validation through the execution of Power BI/AAS reports and the comparison of data outputs via Power BI Databricks will assist in triage and resolution of issues during integration testing.Parallel Runs for production readinessAdvise client when promoting code to higher environments following standard Customer production process using their Continuous Deployment pipelines with manual trigger.Advise client on validation and production performance optimization best practices while the source system and Azure Databricks have been run in parallel on production data for up to six weeks.Support for parallel runs includes validation of report output prior to and post migration and performing data quality checks based on row counts, column-level checks, row-level checks, data subset checks. Parallel runs will be conducted by the Customer team with Databricks providing support for resolution of any issues.