SME - CDC Implementations (Oracle / Debezium)

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.