Description

Build and maintain high-throughput real-time streaming pipelines for large-scale enterprise applications.

Responsibilities

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

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 in digital banking, ecommerce, or complex customer-facing applications.
• Deep understanding of all aspects of the Software Development Life Cycle (SDLC).
• Experience in messaging and data processing on cloud platforms (Azure, GCP, or AWS).

Preferred Skills

• Experience with Apache Flink (Stream, Batch, and Table APIs) and Apache Spark.
• Experience with MongoDB and Agile methodologies.
• Experience working on the Azure cloud platform.

Key Skills

Education

Any Graduate