SME - CDC Implementations (Oracle / Debezium)  
Location: Bangalore  
Mode: Hybrid  
Key Responsibilities:  
- Lead CDC Implementations:  Architect and implement Change Data Capture (CDC) solutions using Debezium , Oracle , and other related CDC tools and technologies.
 
 
- Technical Expertise:  Provide deep technical knowledge and hands-on expertise in CDC technologies, database replication, and real-time data synchronization.
 
 
- Collaboration:  Work closely with cross-functional teams (Data Engineers, Architects, DevOps, and business stakeholders) to design, deploy, and troubleshoot CDC solutions that meet business requirements.
 
 
- Performance Tuning & Optimization:  Monitor and optimize CDC pipelines for performance, scalability, and reliability, ensuring minimal latency and efficient data replication.
 
 
- Troubleshooting & Support:  Lead efforts to identify and resolve issues related to CDC processes, including debugging and resolving replication errors, conflicts, and data consistency issues.
 
 
- Best Practices & Standards:  Establish and enforce best practices, guidelines, and standards for the implementation of CDC technologies.
 
 
- Documentation:  Provide thorough documentation and knowledge transfer on CDC processes, architecture, and best practices for internal and external stakeholders.
 
 
- Training & Mentorship:  Mentor and train junior engineers on CDC technologies, database management, and troubleshooting techniques.
 
 
- Research & Development:  Stay up to date with emerging CDC technologies, tools, and methodologies to continuously improve the organization's data architecture.
 
 
Required Qualifications:  
- Experience:  
- Technical Skills:  
- Soft Skills:  
Preferred Qualifications:  
- Certifications:  Certifications  in Debezium , Oracle , or related database and CDC technologies.
 
 
- Education:  Bachelor¿s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent work experience).
 
 
- Industry Experience:  Experience working in Retail, particularly in areas that involve large-scale data pipelines, real-time analytics, and data warehousing.