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Fractal Analytics

Data Engineer

Fractal Analytics Gurgaon, Haryana, India

Business Consulting and Services · 5,001-10,000 employees

14 h ago
data-engineer Senior (5-10 yrs) Full-time India
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About the role

The Data Engineer will be responsible for building and maintaining event-driven data integration and streaming platforms. They will also manage data pipelines, schema registries, and ensure seamless data flow between legacy and modern systems.

What they look for

Data Engineering Data Modelling Data Integration Apache Kafka Confluent Platform CDC Cloud Environments CI/CD DevOps Event-driven Architecture Real-time Data Streaming Avro JSON Schema SQL Python Relational Databases

Requirements

Candidates must have strong experience in data engineering, specifically with Apache Kafka, CDC technologies, and cloud environments. Proficiency in SQL, Python, and DevOps practices for data platforms is also required.

Full description

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Data Engineer (data integration and streaming platforms)

Data Engineer with strong 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 modern platforms
  • Strong SQL/Python skills and experience working with relational databases
  • Understanding of data mapping, data quality, and common data models
  • Strong stakeholder communication skills and ability to work across business and technical teams

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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