Flink Engineer

  • Mountain View, CA
  • Posted 6 hours ago | Updated 6 hours ago

Overview

On Site
$40 - $60
Accepts corp to corp applications
Contract - W2

Skills

Flink
Apache
DevOps
Pipeline

Job Details

We are looking for a highly skilled engineer with strong experience in Apache Flink, DevOps practices, and real-time streaming data pipelines. The ideal candidate will design, build, and maintain robust data streaming solutions, ensuring reliability, scalability, and performance in production environments.

Key Responsibilities:

  • Design, implement, and optimize real-time data streaming pipelines using Apache Flink, Kafka, or similar technologies.

  • Develop and maintain CI/CD pipelines for automated deployment and monitoring of streaming applications.

  • Collaborate with data engineers, DevOps teams, and architects to ensure smooth data flow across systems.

  • Implement infrastructure as code (IaC) using tools like Terraform, Ansible, or CloudFormation.

  • Manage and monitor streaming workloads on cloud platforms (AWS, Google Cloud Platform, or Azure).

  • Build observability solutions using Prometheus, Grafana, or ELK stack.

  • Ensure high availability, low latency, and fault tolerance in production-grade streaming pipelines.

  • Participate in performance tuning, debugging, and troubleshooting complex streaming systems.

Required Skills & Experience:

  • Strong hands-on experience with Apache Flink (DataStream API, Table API, CEP).

  • Proficiency with Kafka, Spark Streaming, or Pulsar is a plus.

  • Experience with DevOps tools: Docker, Kubernetes, Jenkins, GitLab CI/CD, etc.

  • Working knowledge of cloud services (AWS Kinesis, Google Cloud Platform Pub/Sub, or Azure Event Hubs).

  • Strong programming skills in Java, Scala, or Python.

  • Good understanding of data serialization formats like Avro, Parquet, or Protobuf.

  • Experience with monitoring, alerting, and logging tools in distributed systems.

  • Familiarity with microservices and RESTful API integration.

Nice-to-Have:

  • Experience with Flink SQL and stateful stream processing.

  • Exposure to machine learning pipelines or real-time analytics.

  • Certification in AWS DevOps, Google Cloud Platform Data Engineer, or similar cloud certifications.

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