Engineer, Data Engineer

Company Overview

Incedo is a US-based consulting, data science and technology services firm with over 3000 people helping clients
from our six offices across US, Mexico and India. We help our clients achieve competitive advantage through
end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, and
design capabilities coupled with deep domain understanding. We combine services and products to maximize
business impact for our clients in telecom, Banking, Wealth Management, product engineering and life science
& healthcare industries.
Working at Incedo will provide you an opportunity to work with industry leading client organizations, deep
technology and domain experts, and global teams. Incedo University, our learning platform, provides ample
learning opportunities starting with a structured onboarding program and carrying throughout various stages of
your career. A variety of fun activities is also an integral part of our friendly work environment. Our flexible
career paths allow you to grow into a program manager, a technical architect or a domain expert based on your

Job Description:

We are looking for a Kafka / Flink Engineer to design, build, and support real-time streaming data platforms. The ideal candidate will have strong hands‑on experience with Apache Kafka and Apache Flink, and a solid understanding of distributed systems, stream processing, and data pipelines in production environments.

• Design, develop, and maintain real‑time data streaming solutions using Apache Kafka and Apache Flink
• Build and optimize Kafka producers, consumers, topics, and stream processing applications
• Develop stateful and stateless Flink jobs for real‑time analytics and event processing
• Ensure high availability, fault tolerance, and scalability of streaming platforms
• Monitor, troubleshoot, and resolve performance and reliability issues in production
• Collaborate with data engineers, platform teams, and application teams to integrate streaming solutions
• Implement data quality, security, and governance best practices
• Participate in code reviews, design discussions, and technical documentation

• Strong hands‑on experience with Apache Kafka (Kafka Streams, Connect, Schema Registry)
• Solid experience with Apache Flink for real‑time stream processing
• Strong programming skills in Java or Scala (Python is a plus)
• Experience working with distributed systems and event‑driven architectures
• Knowledge of message serialization formats (Avro, Protobuf, JSON)
• Experience with monitoring and logging tools for streaming systems
• Good understanding of data modeling and streaming data patterns

• Experience with cloud platforms (AWS, Azure, or GCP)
• Knowledge of containerization and orchestration (Docker, Kubernetes)
• Experience with CI/CD pipelines for data platforms
• Exposure to other streaming tools such as Spark Streaming or Pulsar
• Understanding of security, authentication, and authorization in Kafka ecosystems

Company Value We value diversity  do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Incedo