Senior Data Engineer, Log Processing

Lucid

  • Full Time

Leading the future in luxury electric and mobility
At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.
 
We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.
 
Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.

We are looking for a Senior Data Engineer, Log Processing with EFK (Elastic FluentD Kibana) who is looking for a challenge, enjoys thinking big and looking to make their mark on an extremely fast growing company. If you have hands-on experience designing and developing streaming and IoT data pipelines this role is for you. Be part of a group who will be building large and building fast, working with a very talented team of engineers, and collaborating with the brightest mind in the Automotive industry.

 

The Role

 

  • Hands-on design and develop streaming, IoT data pipelines, Log Collection and Log processing.  
  • Developing streaming pipeline using FluentD, Elasticsearch, Kibana.
  • Orchestrate and monitor pipelines using Prometheus and Kubernetes  
  • Deploy and maintain streaming jobs in CI/CD and relevant tools. 
  • Hands-on with Data Lakes and data warehouse   
  • Deploy solution using AWS, S3, Helm and Docker/Kubernetes  
  • Develop storage and retrieval system using Hive and Parquet/Avro
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    Qualifications

     

  • Bachelor or master’s in software engineering or Computer Science 
  • 6+ years of experience in Data Engineering and ELK Stack 
  • Experienced in Log Collection and processing using tools such FluentD and Elastic Search
  • Proficient with AWS, S3, Data Lake, Parquet, and Avro 
  • Experienced in containerization, including Docker and Kubernetes 
  • Expert in design and implement reliable, scalable, and performant distributed systems and data pipelines
  • Extensive programming and software engineering experience, especially in Python
  • Great verbal and written communication skills.  
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    At Lucid, we don’t just welcome diversity – we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.
    Notice regarding COVID-19 vaccination requirement as a condition of gainful employment within the United States
    At Lucid, we prioritize the health and wellbeing of our employees, families, and friends above all else. In response to the novel Coronavirus, and the increased transmissibility with recent variants, all new Lucid employees, whose job will be based in the United States, must provide original documentation confirming status as having received the prescribed inoculation (doses) based on the manufacturer’s guidelines on their first day of employment.
     
    Individuals seeking a medical and/or religious exemption from this requirement may be granted such an accommodation after submitting a formal request to and the subsequent review and approval thereof by our dedicated Covid-19 Response team.
     
    To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.