AWS Lambda, Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Apache, Application Programming Interface (API), Banking Services, Cloud Computing, Data Management, Data Processing, DevOps, Distributed Computing, Infrastructure as a Service (IaaS), Java, Platform as a Service (PaaS), Python Programming/Scripting Language, SQL (Structured Query Language), Simple Queue Service (SQS), Use Cases
Role Summary
Design and lead real-time data streaming solutions leveraging Apache Flink on AWS Cloud, enabling scalable, low-latency, and fault-tolerant data processing platforms for business-critical use cases (e.g., Fraud detection, AML)
Core Technical Skills
• Strong expertise in Apache Flink (DataStream, Table API, SQL)
• Experience in real-time streaming (Kafka pipelines)
• Deep knowledge of AWS Cloud (IaaS + PaaS services) - SQS, Lambda, S3, EC2, API Gateway
• Terraform experience
• Hands-on with distributed systems & event-driven architectures & data pipelines
• Strong experience with API development & integration
• Programming: Java / Python/ Go Lang
Experience in Banking and AML/Fraud will be helpful. Any experience implementing Alloy (Fraud orchestration framework) and integrating with Actimize will be helpful.