Procentrix is looking to modernize its data ecosystem by migrating on-premise data sources into Dataverse and Azure storage.
Requirements
- Strong hands-on experience with Azure Data Factory (ADF), including pipeline design, data flows, and integration runtime setup
- Experience working with on-premise databases (e.g., Informix) and migrating data into cloud environments
- Proficiency in SQL for data transformation and schema alignment
- Knowledge of Dataverse integration using API or OData connectors
- Experience implementing error handling, logging, and retry policies in ADF pipelines
- Familiarity with Azure Blob Storage and management of binary/object data
- Experience with scheduling and automation of pipelines in ADF
Responsibilities
- design, implement, and maintain Azure Data Factory (ADF) pipelines that enable seamless data movement while ensuring reliability, scalability, and compliance with security standards
- lead efforts to migrate on-premise data sources—including Informix databases and binary objects—into Dataverse and Azure storage
- build and manage data pipelines, performing transformations, handling error detection and recovery, and ensuring data is delivered efficiently for use across applications and services
- configure integrations with Dataverse, managing blob storage for binary data, and implementing automation and scheduling to support ongoing operational needs
- collaborate with stakeholders to ensure data quality, troubleshoot issues, and provide guidance on best practices for pipeline automation, scheduling, and error handling
- review and confirm requirements, validate data migration needs, and ensure proper configuration and connectivity of the Self-hosted Integration Runtime (SHIR) for secure on-prem to cloud integration
- ensure data quality, troubleshoot issues, and provide guidance on best practices for pipeline automation, scheduling, and error handling
Other
- Strong problem-solving skills, attention to detail, and ability to work independently and as part of a team
- Bachelor's degree or higher (not explicitly mentioned but implied as a general requirement)
- Ability to work with customers to review and confirm requirements, validate data migration needs
- Prior experience supporting large-scale data migration or modernization projects (desirable)
- Equal Opportunity employer and does not discriminate on the basis of race, color, religion, gender, national origin, age, marital or veteran status
