25 Jan
Data Operations Engineer
Vacancy expired!
Job Description Data Operations EngineerDirect HireRemote
Things you do:- Evangelize and lead the team in Cloud and Data Operations best practices, ensuring delivery of a highly available and scalable systems
- Can effectively communicate decisions, ideas, designs, and operation of systems and services to others in a clear and concise manner
- Foster collaboration with software product development, architecture, and IT teams to ensure releases are delivered with repeatable and auditable processes
- Build and deploy reproducible infrastructure via common Infrastructure as Code tooling (Ansible, SaltStack, Terraformetc.)
- Experience deploying and operating services running in the Cloud (Google, Azure, AWS)
- 2+ software development experience - languages (Java, Python, SQL, Shell Scripting)
- 2+ years working with Big Data (e.g. Cloudera, Hadoop, Kafka, Spark)
- Strong understanding of Git (branching strategies, handling merge conflicts, pull requests)
- Experience in continuous integration tools (Git, Azure DevOps, Jenkins, TFS, Maven, Nexus)
- Strong experience configuring and/or integrating with monitoring and logging solutions such as syslog, ELK (Logstash, Kibana) and Kafka.
- Strong UNIX/Linux systems administration skills, focusing on automation and troubleshooting
- Strong understanding of networking concepts (troubleshooting, SSL configurations, VPC, subnets)
- Engineering background, in either Computer Science, Computer Engineering, Mathematics or Software Engineering
- Experience with Docker, Kubernetes
- Experience building data pipelines and automating Big Data platform applications/services
- Variety of data stores/platforms (data warehouses/data marts,NoSQL)
Vacancy expired!