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Lead Data Engineer (Apache Flink, Kafka, AWS, Go Lang)|W2 Contract

Job

JKV International

San Antonio, TX (In Person)

Full-Time

Posted 4 days ago (Updated 1 day ago) • Actively hiring

Expires 7/21/2026

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Job Description

Experience:

10+ Years Job Description We are seeking an experienced AWS, Go Lang & Apache Flink Lead Developer to design, architect, and implement large-scale real-time data streaming platforms on AWS Cloud. The ideal candidate will have extensive hands-on experience building high-volume, low-latency, fault-tolerant streaming solutions leveraging Apache Flink and AWS services. Key Responsibilities Design and lead real-time data streaming and event-driven architectures using Apache Flink. Develop scalable and resilient data processing frameworks for business-critical applications such as Fraud Detection and AML. Build and optimize Kafka-based streaming pipelines. Architect and implement cloud-native solutions on AWS. Develop APIs and integrations supporting enterprise data platforms. Work closely with business and technology stakeholders to deliver high-performance streaming solutions. Implement Infrastructure as Code (IaC) using Terraform. Lead technical design discussions and mentor development teams. Required Skills 10+ years of overall IT experience. Strong expertise in Apache Flink (DataStream API, Table

API, SQL

). Extensive experience with real-time streaming platforms and Kafka . Deep knowledge of AWS Cloud Services , including: SQS Lambda

S3 EC2 API

Gateway Strong experience with Terraform . Hands-on expertise in distributed systems , event-driven architectures , and data pipelines . Strong API development and integration experience. Programming expertise in Go Lang , Java , and/or Python . Proven experience architecting and implementing high-volume, real-time data streaming and processing frameworks. Preferred Qualifications Banking, Financial Services, AML, or Fraud Detection domain experience. Experience with Alloy Fraud Orchestration Framework . Experience integrating with Actimize solutions. Prior experience leading teams and driving architecture decisions.