Data Engineer (data integration and streaming platforms)

Data Engineer with robust experience in event-driven data integration and streaming platforms, ideally with hands-on expertise in Confluent Kafka and CDC technologies.

Experience:
Strong Data Engineering background, including data modelling, transformation, and integration
Experience working within cloud environments and tools
Knowledge of CI/CD pipelines and DevOps practices for data platforms
Ideally experience with Apache Kafka/Confluent Platform, inc support CDC (Change Data Capture) solutions, and managing Kafka topics, schemas, connectors, and stream processing pipelines
Good understanding of event-driven architecture and real-time data streaming patterns
Familiarity with Avro/JSON schema management and Schema Registry




Experience integrating data between legacy and up-to-date platforms
Strong SQL/Python skills and experience working with relational databases
Understanding of data mapping, data quality, and common data models
Solid stakeholder communication skills and ability to work across business and technical teams

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer Noida (India)
🏢 Fractal Analytics
📍 India