Website:
levelshift.com
Job details:
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.
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