Senior Software Engineer - Genrocket & Delphix

LevelShift · Chennai

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Last observed by our collector: 8 October 2026 at 11:41 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 17821234

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Collected role description

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 .