Description

Build and manage high-throughput, real-time streaming pipelines for critical transformation projects.

Responsibilities

• Develop Flink data processing applications to handle high-throughput streaming data.
• Design and implement scalable applications that read from various sources and write to multiple sinks.
• Provide architectural solutions and technical guidance to the Flink development team.
• Integrate Flink with technologies such as Kafka and MongoDB.
• Collaborate with the team to design, test, and refine deliverables within the SDLC.

Required Skills

• 10+ years of Java development experience with expertise in data transformation.
• 5+ years of experience consuming streaming data using Kafka and Flink.
• 5+ years of experience building high-throughput pipelines with Flink.
• Hands-on experience with Continuous Integration and Deployment (CI/CD).
• Experience with large-scale enterprise integrations and customer-facing applications.
• Knowledge of messaging and data processing on cloud platforms like AWS, Azure, or GCP.
• Bachelor's degree.

Preferred Skills

• Experience with Apache Flink Stream, Batch, and Table APIs.
• Experience with Apache Spark (Structured streaming, Batch processing).

Key Skills

Education

Bachelor's degree