Flink Developer

IBS Software; India; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A leading technology company in India is seeking a skilled Flink Java Developer with 3-8 years of experience in building real-time streaming applications. The role involves designing and developing applications using Apache Flink and Java, optimizing job performance, and integrating with Kafka. The ideal candidate should have strong hands-on expertise in streaming data design patterns and be comfortable in fast-paced environments. This position requires effective communication skills and adaptability in cloud-native settings.

Qualifications

• 3-8 years of hands-on experience with Apache Flink and Java.
• Proficient in Kafka for ingestion and delivery pipelines.
• Solid understanding of Flink's state management.

Responsibilities

• Design and develop real-time stream processing applications using Apache Flink.
• Optimize Flink job performance through various techniques.
• Integrated with Kafka for data delivery.

Skills

Apache Flink (Java)

Kafka

Java development

Event-time processing

Debugging skills

Tools

Apache Flink

Kafka

MongoDB

Job description

Experience & Location

3–8 years of experience. Locations: TVM / COK / CHENNAI / BLR.

Role Overview

We are looking for a highly skilled Flink Java Developer with 3–8 years of experience in building real-time streaming applications at scale. The ideal candidate will have strong hands‑on expertise in Apache Flink (Java), solid working experience with Kafka, and knowledge of streaming data design patterns. Familiarity with Flink PaaS solutions (e.g., Decodable, Confluent Cloud, Kinesis Data Analytics) is a strong plus.

Key Responsibilities

• Design and develop real‑time stream processing applications using Apache Flink and Java.
• Implement stateful stream processing (keyed state, operator state, checkpointing, savepoints).
• Apply event‑time semantics, watermarking, and windowing for accurate streaming computations.
• Optimize Flink job performance (parallelism, operator chaining, backpressure handling, checkpointing strategy).
• Integrate with Kafka (mandatory) for ingestion and delivery pipelines.
• Tune serialization/deserialization (Kryo, Avro, Protobuf, POJO) for high throughput and efficiency.
• Implement Async I/O patterns in Flink to integrate with external systems (e.g., MongoDB/NoSQL).
• Connect pipelines to NoSQL databases (MongoDB preferred) for persistence and lookups.
• Deploy and monitor applications in cloud‑native environments; exposure to Flink PaaS solutions is advantageous.
• Ensure high availability, fault tolerance, and data consistency across distributed systems.

Required Skills & Experience

• 3–8 years of hands‑on Apache Flink experience with Java.
• Strong expertise in Kafka (producer, consumer, partitioning, offset management).
• Knowledge of Flink state management (operator/keyed state, RocksDB backend).
• Experience with event‑time processing, watermarks Anzeige, windowing, and broadcast state.
• Solid Java development skills including concurrency, performance tuning, and memory management.

Good to Have

• Experience with Flink PaaS solutions (Decodable, Confluent Cloud, Kinesis Analytics, etc.).
• Serialization tuning with Kryo, Avro, Protobuf, or POJO optimization.
• Familiarity with Async Flink operators (async lookups, async I/O).
• Experience with NoSQL databases such as MongoDB.
• Exposure to Flink metrics, job monitoring, and performance optimization.

Desired Qualities

• Strong problem‑solving and debugging skills.
• Effective communication and collaboration with cross‑functional teams.
• Proactive, ownership‑driven approach to handling large‑scale, critical data pipelines.
• Ability to adapt quickly in fast‑paced, cloud‑first environments.