Synechron is a leading digital consulting firm with 17,000+ team-oriented employees in 55+ global offices across 17+ countries.
From our solid financial services industry foundation, we have become a prominent global digital consulting firm for large financial services and technology firms.
With a key focus on trust, and in partnership with our clients, we’re leading modernization and digital optimization journeys with expertise that spans Consulting, Data, Design, Cloud and Engineering across various industries.

We can provide you with customized end-to-end solutions that drive business value.
We are looking for an experienced and motivated Senior Real-Time Data Engineer – Java, Flink & Kafka to join our data engineering team.
The successful candidate will be responsible for designing, developing, deploying, and operating scalable real-time data pipelines that support event-driven architecture, real-time analytics, and mission-critical banking workloads.
Java is mandatory for this role.

Job Description
As a Real-Time Data Engineer, you will work closely with data architects,



platform teams, application engineers, DevOps teams, and business stakeholders to build reliable, low-latency, and high-throughput streaming solutions using the Kafka ecosystem, Apache Flink, PySpark, and modern data platforms.

Responsibilities
- Design, develop, test, deploy, and operate real-time data pipelines using Java, Apache Flink, and Apache Kafka.
- Build scalable event-driven solutions for low-latency and high-throughput data processing.
- Develop and maintain Kafka producers, consumers, topics, partitions, consumer groups, and streaming integrations.
- Implement stream-processing logic using Flink, including event-time processing, windowing, state management, checkpointing, and fault tolerance.
- Design solutions that support reliable processing, data consistency, scalability, and exactly-once or at-least-once delivery requirements.
- Develop batch and streaming data-processing so

📌 Hiring: Data Engineer (India)
🏢 Synechron
📍 India