Data Lakehouse Platform Engineer

4 weeks ago

New York, New York, United States GEICO Full time
Data Lakehouse Platform Engineer Position Summary

GEICO is seeking an experienced Data Lakehouse Platform Engineer with a passion for building high-performance, low-maintenance, zero-downtime platforms and core data infrastructure. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission, while co-creating the culture of psychological safety and continuous improvement.

Position Description

Our Data Lakehouse Platform Engineer is a key member of the engineering staff working across the organization to innovate and bring the best open-source data infrastructure and practices into Geico as we embark on a greenfield project to implement a core Data Lakehouse for all Geico's core data use-cases across each of the company's business verticals.

Position Responsibilities

As a Data Lakehouse Platform Engineer, you will:
  • Scope, design, and build scalable, resilient Data Lakehouse components
  • Lead architecture sessions and reviews with peers and leadership
  • Accountable for the quality, usability, and performance of the solutions
  • Spearhead new software evaluations and innovate with new tooling
  • Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learning
  • Collaborate with customers, team members, and other engineering teams to solve our toughest problems
  • Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering community
  • Consistently share best practices and improve processes within and across teams
  • Share your passion for staying on top of the latest open-source projects, experimenting with, and learning recent technologies, participating in internal and external technology communities, and mentoring other members of the engineering community

Qualifications

  • Exemplary ability to design and develop, perform experiments
  • Experience developing new and enhancing existing open-source based Data Lakehouse platform components
  • Experience cultivating relationships with and contributing to open-source software projects
  • Experience with open-source table formats (Apache Iceberg, Delta, Hudi or equivalent)
  • Experience with open-source compute engines (Apache Spark, Apache Flink, Trino/Presto, or equivalent)
  • Experience with cloud computing (AWS, Microsoft Azure, Google Cloud, Hybrid Cloud, or equivalent)
  • Expertise in developing distributed systems that are scalable, resilient, and highly available
  • Expertise in container technology like Docker and Kubernetes platform development
  • Experience with continuous delivery and infrastructure as code
  • In-depth knowledge of DevOps concepts and cloud architecture
  • Experience in Azure Network (Subscription, Security zoning, etc.) or equivalent
  • Ability to excel in a fast-paced, startup-like environment

Experience

  • 6+ years of professional experience in data software development, programming languages and developing with big data technologies
  • 4+ years of experience on open-source development
  • 3+ years of experience with architecture and design
  • 3+ years of experience with AWS, GCP, Azure, or another cloud service

Education

  • Bachelor's degree in Computer Science, Information Systems, Mathematics or equivalent education or work experience

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