**Key Responsibilities**
- Install, configure, and administer **Oracle EDQ** environments
- Manage EDQ components: EDQ Director,EDQ Server,Repository configuration
- Perform platform upgrades, patching, and environment optimization
- Lead migration of EDQ pipelines from **on-prem to Azure**
- Perform assessment of existing EDQ processes, jobs, and dependencies
- Migration planning and execution (lift-and-shift + refactoring)
- Re-platform EDQ workloads to Azure infrastructure: Azure Virtual Machines / Azure Kubernetes (if containerized)
- Build and maintain EDQ processes: Data profiling,Standardization and cleansing and Matching and deduplication
- Optimize pipelines for performance and scalability in Azure
- Develop reusable components and reference data frameworks
- Support on Azure Cloud Engineering
- Design and implement EDQ architecture on Azure:
- Compute (VMs, containers)
- Storage (Azure Blob / Data Lake)
- Networking and security
Configure Secure Connectivity
- Hybrid networking (VPN / ExpressRoute)
Integrate EDQ With Azure Services
- Azure Data Factory (ADF)
- Azure Synapse Analytics
- Integrate EDQ with enterprise data platforms and tools
- Manage upstream/downstream integrations: Databases, APIs, file-based systems
- Support data ingestion and transformation pipelines
- Database & Data Skills Oracle Database (SQL, PL/SQL)
- Experience with Data warehousing concepts
- ETL tools (ODI optional, ADF preferred)
- Performance Tuning & Monitoring
Optimize EDQ Job Performance
- Memory allocation
- Parallel processing
- Monitor platform health using: Azure Monitor / Log Analytics
- Perform root cause analysis and issue resolution
- Security & Governance -Implement security best practices:
- Data encryption (at rest and in transit)
- Access control (RBAC in Azure)
- Manage secrets via:
- Azure Key Vault
- Ensure compliance with enterprise data governance standards
- DevOps & Automation
- Build CI/CD pipelines for EDQ artifacts and deployments
- Automate: Environment provisioning and Code migration and releases
- Use: Git (version control),Azure DevOps / Jenkins
- Develop automation scripts (Shell, Python)
**Key Deliverables / KPIs**
- Successful EDQ migration from on-prem to Azure
- High-performance and scalable data quality pipelines
- Minimal downtime during migration
- Automation of deployment and operations
- Improved data quality metrics
**Required Skills & Qualifications**
- Strong hands-on experience with: **Oracle Enterprise Data Quality (EDQ)**
- Experience with: Data quality frameworks and Data profiling, cleansing, matching
- Proven experience in migrating EDQ or similar data platforms from on-prem to cloud
- Strong understanding of data pipeline refactoring for cloud environments.
- Hands-on experience with Azure Virtual Machines, snowflake.
- Knowledge of Networking (VNETs, VPN, ExpressRoute)
**Nice-to-Have Skills**
- Experience with: Oracle ODI, GoldenGate
- Containerization (Docker, Kubernetes)
- Exposure to: Data governance tools and Multi-cloud environments.
**Soft Skills**
- Strong problem-solving and troubleshooting skills
- Ability to work across data, cloud, and infrastructure teams
- Strong communication and stakeholder management
**Education & Experience**
- Bachelor s degree in Computer Science, Engineering, or related field
- 5+ years of experience in:
- EDQ / data quality platforms
- Cloud or platform engineering
- Azure certifications (preferred):
- Azure Data Engineer Associate or Azure Solutions Architect
