Synechron is a leading digital consulting firm with 17,000+ collaborative 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.

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 solutions using PySpark and Apache Spark.
- Collaborate with data architects and platform teams to define data models, schemas, integration patterns, and operational requirements.
- Work with schema management and serialization formats such as Avro, Protobuf, JSON, and Schema Registry.
- Monitor, troubleshoot,



and optimize production streaming pipelines, including latency, throughput, failures, data quality, and resource utilization.
- Implement logging, alerting, observability, reconciliation, and operational support processes.
- Support CI/CD, automated testing, version control, containerization, and deployment of streaming applications.
- Collaborate with engineering, security, DevOps, operations, and business teams to deliver secure and production-ready solutions.
- Prepare technical documentation, runbooks, data-flow diagrams, and support procedures.
- Ensure solutions comply with enterprise security, data governance, resilience, and regulatory standards.

Required Skills & Experience

- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
- Proven experience as a Data Engineer, Big Data Engineer, or Streaming Data Engineer.
- Solid hands-on experience with Java is mandatory.
- Strong practical experience with Apache Flink and real-time stream processing.
- Strong hands-on experience with Apache Kafka and the Kafka ecosystem.
- Experience developing low-latency and high-throughput streaming data pipelines.
- Hands-on experience with PySpark and/or Apache Spark.
- Strong knowledge of distributed systems, event-driven architecture, and real-time data processing.
- Experience with Flink concepts such as state management, event-time processing, windowing, checkpointing, fault tolerance, and exactly-once processing.
- Experience with Kafka topics, partitions, consumer groups, replication, producers, consumers, Kafka Streams, or Kafka Connect.
- Strong programming and data-processing skills using Java, Python, and SQL.
- Experience with data serialization and schema-management technologies such as Avro, Protobuf, JSON, or Schema Registry.
- Experience with monitoring, troubleshooting, performance tuning, data quality, and production support.




- Experience working with Git, CI/CD, automated testing, and Agile delivery practices.
- Strong analytical, problem-solving, communication, and collaboration skills.

Preferred Skills

- Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
- Knowledge of Kubernetes, Docker, Jenkins, Terraform, or similar DevOps technologies.
- Experience with stream-processing observability, monitoring, alerting, and operational dashboards.
- Familiarity with data security, access controls, encryption, data governance, and regulatory requirements.
- Experience working in banking, financial services, payments, fintech, or another highly regulated setting.
- Experience with real-time analytics, fraud detection, transaction monitoring, market data, or other mission-critical financial workloads.

Benefits

- 100% Medical Insurance premium for Employee will be paid by Synechron.
- Medical Insurance Premium for dependents on a residence visa will be paid under Synechron’s 50%–50% copay policy.
- Employment and residence visa costs will be paid by Synechron for employees and their dependents.
- Initial entry tickets will be paid by Synechron for employees and their dependents relocating from outside the UAE.
- 22 working days of annual leave and 15 sick leaves will be provided as per UAE regulations.

Awards:

2022: Voted in Top 25 Best Companies to Work for by the Business Intelligence Group

2021: Winner of the Gold Globee Award for Employer Excellence in Career Growth, Development & Training

2021: Synechron recognized with a Silver Level Award for COVID-19 Support Strategy

2020: Winner of the Team of the Year Award at the US FinTech Awards

2020: Synechron FinLabs won a Gold Stevie Award at the Asia-Pacific Stevie Awards

We are proud to be an equal opportunity employer. Our Diversity, Equity, and Inclusion initiative, Same Difference, is committed to fostering an inclusive culture that promotes equality, diversity, and respect.

We encourage applicants from diverse backgrounds, races, ethnicities, religions, ages, marital statuses, genders, sexual orientations, and abilities to apply. Empowerment and collaboration are at the core of how we operate.

📌 Data Engineer (Chennai)
🏢 Synechron
📍 Chennai