Cloud Data Engineer

Lorven Technologies Inc
Austin, TX, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

.NET Framework Amazon Web Services Proxy Servers Application Integration Architecture Business Logic C Sharp (Programming Language) Cloud Database Cloud Engineering Distributed Systems Fraud Prevention and Detection Virtual Private Networks (VPN) Cloud Services
+17 more
Data Streaming Real Time Systems .NET Core AWS Lambda Event Driven Architecture Kubernetes Information Technology Low Latency Apache Flink AWS Glue Real Time Data Apache Kafka Api Gateway Restful APIs Stream Processing Data Pipelines Microservices

Job description

API & Integration Technologies

  • Kong API Gateway
  • REST APIs
  • Microservices Architecture
  • .NET / .NET Core / C#

AWS Technologies

  • AWS Glue
  • AWS Lambda
  • Amazon EventBridge
  • Cloud-native event-driven architectures
  • Integration between on-premises and cloud platforms

Data Replication & Integration

  • HVR (High Volume Replication/Fivetran HVR)
  • Real-time data synchronization and replication strategies

Security & Network Intelligence Requirements

  • IP reputation and risk analysis
  • Identifying and classifying traffic originating from:

  • TOR networks
  • Proxy servers
  • VPN services
  • Fraud detection or cybersecurity-related enrichment services
  • Integration of threat intelligence and geolocation services into transaction workflows, Role Overview As a .NET Engineer, you will play a crucial role in shaping the future of AI systems by leveraging your expertise in .NET and C#. Your contributions will directly i…
  • 1 month ago, Infrastructure Engineer - Cloud Data Platforms & Kubernetes, Onsite We have an immediate need for an experienced Infrastructure Engineer with strong expertise in Kubernetes and C…
  • 1 day ago
  • Apply easily +

Requirements

  • Bachelor’s degree in Computer science or equivalent, with minimum 14+ Years of relevant experience

Real-Time Processing

  • Proven experience building real-time distributed systems.
  • Demonstrated experience delivering transaction round-trip times under 300 milliseconds.
  • Experience enriching transactions using multiple internal and external data sources.

Streaming & Messaging

  • Apache Kafka

  • Topic design
  • Consumer groups
  • Stream processing
  • Custom Kafka business logic
  • Apache Flink

  • Stateful stream processing
  • Event-time processing
  • Windowing
  • Low-latency data pipelines

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