We are looking for a Senior Software Engineer with strong expertise in Test Data Management, Delphix, GenRocket, Data Engineering, and Cloud Data Platforms. The role involves building secure, automated, compliant, and scalable test-data solutions across enterprise environments.

Key Responsibilities

• Design and manage GenRocket synthetic data for functional, performance, negative-path, and AI/ML testing.
• Configure Delphix VDBs, dSources, masking, anonymization, cloning, and point-in-time recovery.
• Automate data refresh, masking, and environment provisioning using Delphix APIs, DXToolkit, Python, PySpark, and Shell scripting.
• Build ETL/ELT pipelines using SSIS, Azure Data Factory, Microsoft Fabric, and Databricks.
• Perform data mining, extraction, cleansing, transformation, and loading across enterprise data sources.
• Develop Power BI, Tableau, and SSRS dashboards for data quality, coverage, and compliance reporting.
• Integrate Delphix with Azure Data Factory, Power BI, and cloud data platforms.
• Support API development, schema documentation, troubleshooting, and application integration.
• Ensure compliance with GDPR, HIPAA, CCPA, information security, and data governance standards.
• Conduct code reviews, develop reusable components, and drive continuous process automation.
• Mentor engineers through knowledge-sharing sessions and technical guidance.

Required Technical Skills

• GenRocket – synthetic test data / AI-ML datasets; certification required.
• Delphix – Continuous Data Engine, Continuous Compliance Engine, Data Control Tower, DCS, DCD, ASDD, DXToolkit; virtualization/masking certification required.
• Databases: SQL Server, Oracle, MySQL, PostgreSQL, DB2, SAP HANA, Hive, Mainframe.
• Cloud/Data: Azure Data Factory, Microsoft Fabric, Databricks, Azure SQL, AWS, SSIS.
• Analytics: Power BI, Tableau, SSRS.
• Programming: Python, PySpark, Shell scripting, SQL.
• Strong understanding of ETL/ELT, data virtualization, masking, anonymization, APIs, data security, and compliance.