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Big Data Engineer

2 months ago

Addison, United States Bayone Full time

Bachelor's degree in Computer Science, engineering, software engineering, or related field.

  • 4+ years of experience in application technical support, development and operations.
  • Experience with software development, infrastructure development, or development and operations for data sciences.
  • Experience with big data / any combination of the following - Hadoop, Kafka, EMR, Spark.
  • Experience developing or working in Amazon Web Services (AWS) environments.
  • Experience with Linux & Windows infrastructures
  • Experience writing with SQL queries
  • Understanding of regular expressions (Regex)
  • Proficiency in data profiling, cleansing, parsing, standardization, and data quality exception handling and monitoring.
  • Demonstrated experience in analyzing and interpreting complex data to provide resolution for data-related issues.
  • Highly developed, process-oriented skills for troubleshooting and problem resolution.
  • Experience in IT Service Management fundamentals including Incident, Problem, & Change Management.
  • 3+ years' experience using Service Management / ticketing tools.
Nice to Have
  • Experience with CI/CD tools, Configuration Management, and/or experience with installing, configuring, and maintaining DevOps tools and technologies such as Confluence, JIRA, Bitbucket, Jenkins, Artifactory
  • Knowledge of infrastructure and automation tools such as Ansible, Salt Stack, and Terraform.
  • Experience participating in Scrum/Kanban, Agile workflow methodologies
  • Experience with container and container management technologies (Docker, Packer, Kubernetes, Firecracker)
  • Cyber Investigations and Operations experience.
  • Experience supporting a SaaS Application.
  • Experience working with security data logs and use cases such as account misuse, data exfiltration, insider threat
  • Experience working for or delivering content on Splunk, AlienVault, Arcsight, Qradar, NITRO ESM
  • Experience working with technologies such as firewall, VPN, intrusion detection tools, Malware tools, authentication tools, endpoint technologies, cloud security tools
  • Understanding of IT security, risk, compliance, and privacy concepts and principles to support enterprise business goals and objectives.
  • Good interpersonal skills and communication with all levels of management.
  • Experience engaging directly with B2B customers. Ability to fine tune your message for both technical and business audiences.
  • Strong written-communication skills.
  • ble to multitask, prioritize, and manage time efficiently.