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Principal Data Platform/DevOps Engineer

GEICO

Engineering & Technology

IT & Telecoms Confidential
1 month ago

Job Summary

GEICO is looking for a passionate and talented User Experience Designer. This role will work closely with product managers, engineers and other experienced designers from initial concept and strategy through the execution. Your background in human-centered design will make you an advocate for our customers and internal users as you iterate and test your concepts in a highly collaborative team environment.

  • Minimum Qualification: Degree
  • Experience Level: Mid level
  • Experience Length: 6 years

Job Description/Requirements

Position Responsibilities:

  • Extend standard systems management processes into the cloud including change, incident, and problem management
  • Develop and maintain a library of deployable, tested, and documented automation design scripts, processes, and procedures
  • Enable DevOps development activities and complex development tasks that will involve working with a wide variety of tools and container management systems
  • Coordinate and bring application experts and other infrastructure teams together for finding optimal solutions to issues related to capacity, security, performance
  • Implement and maintain CI/CD solutions and create code deployment models to support self-service automation


Qualifications:
  • A technical background and knowledge of big data foundational concepts such as relational database, data warehouse, and data lakes is required to help build and maintain robust, scalable data and machine learning platforms
  • Be well versed on general infrastructure technology and understand public and private cloud concepts such as Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS)
  • Experience configuring and managing technologies used in big data and machine learning such as Snowflake, Spark, virtual networking in cloud environments
  • Experience with container orchestration tools such as Docker and Kubernetes
  • Experience with infrastructure-as-code technologies such as Terraform
  • Extensive experience and strong understanding of cloud and infrastructure components
  • Preferred technologies include Azure, event streaming, data transformation, data warehouse, Azure Data Factory, and Azure data lake and services
  • Strong working knowledge of networking concepts (DNS/DHCP/Firewalls/Sub-netting, etc.) Azure preferred
  • Automation experience. Strong coding and scripting skills (shell, NodeJS, Python etc.)
  • Experience in backend programming languages like PL/SQL, T-SQL, NZ SQL etc.
  • Awareness of DB Optimization techniques pertinent to cloud data warehouses. Snowflake preferred
  • Understanding of data ingress and egress patterns between cloud components. Big data Snowflake and different cloud service providers preferred
  • Proficiency in Spark and Snowflake platform Architecture, function/feature is a plus.
  • Experience architecting and designing current systems
  • Advanced understanding of DevOps concepts including Azure DevOps framework and tools
  • Advanced understanding of monitoring concepts and tooling
  • Experience with continuous delivery and infrastructure as code
  • Strong problem-solving ability
  • Ability to excel in a fast-paced environment
  • Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)
  • Experience and good understanding of big data eco systems like Hadoop, Spark, and Snowflake



 Experience:
  • 6+ years of professional software development and/or infrastructure experience
  • 4+ years of experience in open-source frameworks
  • 3+ years of experience with architecture and design
  • 3+ years of experience with AWS, GCP, Azure, or another cloud service


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