As an Azure Data Engineer at Procentrix, you will play a key role in modernizing our customer's data ecosystem by leading efforts to migrate data including into Dataverse and Azure storage. You will design, implement, and maintain Azure Data Factory (ADF) pipelines that enable seamless data movement while ensuring reliability, scalability, and compliance with security standards. Responsibilities include: Direct interaction with customers to review and confirm requirements, validate data migration needs, and ensure proper configuration and connectivity of the cloud integration. Collaborate with stakeholders to ensure data quality, troubleshoot issues, and provide guidance on best practices for pipeline automation, scheduling, and error handling. Building and managing data pipelines, performing transformations, handling error detection and recovery, and ensuring data is delivered efficiently for use across applications and services. Configuring integrations with Dataverse, managing blob storage for binary data, and implementing automation and scheduling to support ongoing operational needs. The projected compensation range for this position is $120K - $140K annualized (USD). The final salary offered will generally fall within this range and is determined by various factors, including but not limited to the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as internal pay equity, location, contract-specific affordability and other organizational requirements.