Key Responsibilities:

• Design and implement scalable and reliable real-time data processing pipelines using Apache Flink.
• Develop complex event processing systems to support high-throughput and low-latency data streams.
• Optimize Java application performance to ensure system scalability and stability.
• Collaborate with cross-functional teams to define and refine project requirements and deliverables.
• Continuously evaluate and incorporate new technologies to enhance application capabilities.

Desired Skill Set:

• Profound experience with Java programming and stream processing.
• Hands-on experience with Apache Flink or similar frameworks (e.g., Apache Spark Streaming).
• Strong understanding of distributed systems and real-time data processing architectures.
• Proficiency in developing high-performance applications and solving complex technical challenges.
• Excellent problem-solving, analytical, and communication skills.

Qualifications:

• Bachelors or Masters degree in Computer Science, Engineering, or a related field.
• Consistent track record in Java development and stream processing.
• Proven ability to work in fast-paced and collaborative team environments.