Senior Cloud/Data Infrastructure Engineer

Compunnel

$120K — $160K *
Information Technology
8 - 10 years of experience
Full Job Description
Job Summary:

We are seeking a Senior Cloud/Data Infrastructure Engineer with 8+ years of experience to lead the design and implementation of scalable data infrastructure and automation in the cloud. The ideal candidate will have hands-on expertise with modern ETL/ELT tools, event-driven architectures, and pipeline automation across cloud platforms such as AWS, Azure, or GCP.

Job Responsibilities:
  • Design, develop, and optimize robust cloud-based data platforms
  • Build and maintain real-time and batch data pipelines using tools like Fivetran, Informatica IDMC, Azure Data Factory, or AWS Glue
  • Architect and manage event-driven streaming systems (Kafka, Kinesis, Event Hubs, Pub/Sub)
  • Automate infrastructure provisioning using IaC tools like Terraform or CloudFormation
  • Implement CI/CD pipelines and streamline deployment processes
  • Ensure observability through monitoring tools (Datadog, Prometheus, Grafana)
  • Support real-time analytics by optimizing data ingestion and processing workflows
  • Collaborate with data engineering, DevOps, and application teams for system integration
  • Troubleshoot performance issues and maintain high availability of services
  • Support containerized environments using Kubernetes for orchestration


Required Skills:
  • 8+ years of experience in cloud and data platform engineering
  • Proficiency in ETL/ELT tools: Fivetran, Informatica IDMC, Azure Data Factory, or AWS Glue
  • Experience with event streaming platforms: Kafka, Kinesis, Event Hubs, Pub/Sub
  • Strong knowledge of stream processing frameworks: Apache Flink, Spark Streaming, Google Cloud Dataflow, etc.
  • Experience in Infrastructure as Code with Terraform or CloudFormation
  • Familiarity with CI/CD and automation workflows
  • Hands-on experience with Kubernetes and container orchestration
  • Proficiency in monitoring tools like Datadog, Prometheus, Grafana
  • Knowledge of both SQL and NoSQL databases
  • Strong analytical, problem-solving, and communication skills

Preferred Skills:
  • Understanding of CQRS, event sourcing, and real-time data processing
  • Experience in supporting real-time analytics use cases
  • Familiarity with multi-cloud environments (AWS, Azure, GCP)


Certifications:

[Not specified]

Education:

Bachelor's degree in computer science, Engineering, or a related field (or equivalent practical experience)

Education: Bachelors Degree

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