Job description

Clearance: Active Secret of above Requirements Gathering • Collaborate with business analysts, data architects, and stakeholders to gather requirements and ensure data integrity throughout the migration lifecycle. • Ability to create Data mapping documents (Source to Target) by understanding business rules. Data Understanding/Profiling • Perform data profiling, cleansing, and quality checks to ensure accuracy and completeness of migrated data. • Analyze and map source Oracle database schemas to target Dataverse tables/entities, defining transformation and cleansing logic as required. Technical Requirements for Development • Write and optimize SQL queries, stored procedures, and scripts for Oracle databases to support data migration and validation. • Implement data transformation processes to ensure data compatibility with Dataverse data types, relationships, and constraints. • Experience with Dataverse data types and CRUD operations • Experience configuring data pipelines in ADF (to extract, transform, load). Experience using .csv files as sources of data for the ADF pipelines • Experience using Oracle CDCs as sources of data for the ADF pipelines. Experience logging errors (audit framework) from an ADF pipeline to a Dataverse table • Experience pushing data to Dataverse table(s) including necessary transformations to match target field types (i.e. Dataverse lookups, choices, date/time, etc.) • Experience configuring setting for pipelines to improve concurrency/performance (i.e., ADF cores, memory, etc.) • Experience with additional Azure services (e.g., Logic Apps, Data Lake, Azure Functions, Azure SQL). • Experience/exposure in python/shell scripting is a plus Data Validation Post migration • Ability to generate a reconcile report of the migrated data using SQL or scripts Code Migration • Must be familiar with Git or source code repository & CI/CD process.

Requirements