Data Scientist II

1. Key Responsibilities
   1. Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF)
      1. Configure and manage Linked Services, Datasets, and Pipelines in ADF
         1. Develop and optimize data transformation workflows using Azure Databricks (PySpark)
         2. Work across Lakehouse architecture layers (Bronze/Silver/Gold), storage accounts, Unity Catalog, and support metadata‑driven design (control tables, mappings).
         3. Strong technical expertise across Power BI, SQL, Power Platform tools, and Azure services
         4. Build and manage dbt models for data transformation, testing, and documentation
         5. Implement real-time data ingestion using Azure Event Hub
         6. Integrate data from multiple sources (databases, APIs, cloud storage, on-prem systems)
         7. Ensure data quality by implementing dbt tests and validations
         8. Monitor, troubleshoot, and optimize data workflows
         9. Collaborate with cross-functional teams to understand business data requirements
         10. Maintain data governance, security, and performance standards
         11. Strong understanding of data warehousing concepts and ELT methodologies
         12. Experience working with Azure Data Lake Storage (ADLS) or similar storage solutions
         13. Knowledge of version control (Git) and CI/CD processes
         14. Willing to work in production support

Through our dedicated associates, Conduent delivers mission-critical services and solutions on behalf of Fortune 100 companies and over 500 governments - creating exceptional outcomes for our clients and the millions of people who count on them. You have an opportunity to personally thrive, make a difference and be part of a culture where individuality is noticed and valued every day.