Senior Data DevOps Engineer - Kafka Expertise(12+ Years)

Overview

Remote
$60 - $80
Contract - Independent
Contract - W2
Contract - 12 Month(s)
10% Travel

Skills

Amazon Web Services
Continuous Integration
Docker
DevOps
Kubernetes
Reliability Engineering
Terraform
OAuth
API

Job Details

Requirements

  • Design, implement, and manage scalable, secure, reliable and effective data solutions focus on streaming and event-driven logging using AWS services such as MSK (Managed Streaming for Apache Kafka), Lambda, EC2, ECS, Glue, S3, and Athena.
  • Collaborate with cloud solution architects, network engineers, analysts, program managers, and other engineering teams to understand logging requirements and develop effective data ingestion, data analytics and reporting solutions
  • Monitor and troubleshoot failure or performance issues in data solutions.

Qualifications:

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.
  • Proven experience as a DevOps Engineer, Data Engineer, or similar role, with a focus on data solutions.
  • Strong experience in data ingestion, data modeling, data storage, ETL, and reporting, with a focus on streaming and event-driven logging using AWS services (MSK, Lambda, EC2, ECS, Glue, S3, etc).
  • Proficiency in Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation.
  • Experience with CI/CD tools and practices.
  • Familiarity with containerization technologies (e.g., Docker, Kubernetes) is a plus.
  • Strong scripting skills in languages such as Python, Bash, or similar.
  • Excellent problem-solving skills and the ability to work in a fast-paced environment.
  • Strong communication and collaboration skills, with the ability to work effectively in a team
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