Principal Data Engineer, Big Data

Number of employees

5500

Newark, CA, United States

Posted on: 2019-07-31

Category: emobility

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Expired

Employment type:

Full time

Experience required:

Intermediate

Salary

Salary not provided

About the company:

Lucid is the new generation of EV. Our relentless focus on innovation, luxury, and sustainability drives us into a reality where you no longer have to choose between doing great things, doing the right thing, and doing everything with the highest regard for efficiency and design. There were luxury cars, then EVs, now there’s Lucid.  

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 Principal Data Engineer who is looking for a challenge, enjoys thinking big and looking to make their mark on an extremely fast growing company. If building large and building fast, working with a young and very talented team of engineers and collaborating with the brightest mind in the Automotive industry is what you like, Lucid is the best to experience it. 

LMMP

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. 

The Role

  • Lead Data Engineer and architect, to design, implement a highly scalable system to ingest and process Petabytes of data per day.  
  • Design and develop applications for data pipeline and data management.  
  • Set processes and policies for data governance and data pipeline 
  • Architect and implement best practices of big data tools such as Spark, Airflow, Kafka, Presto and Timeseries Databases 
  • Lead and mentor junior Data and BI engineers. 
  • Set and define the standards and best practices in data team  
  • Be the point of reference for solving a challenging technical problem.  
  • Architect and implement Machine Learning Pipelines for Data Science team.  
  • Qualifications

  • Bachelor or Masters in Software Engineering and Computer Science
  • 8+ years of experience in design and development of large-scale data platforms
  • 4+ years of software development experience in Scala or Java
  • Experience in hands-on implementing new application with production quality
  • Expert in containerization, including Docker and Kubernetes
  • Expert in tools such as Apache Spark, Apache Airflow, Presto, and Kubeflow
  • Proficient in Spark application development
  • Expert in design and implementing reliable, scalable, and performant distributed systems and data pipelines
  • Extensive programming and software engineering experience, especially with Java, Scala, or Python
  • Experience with running large-scale distributed computing infrastructure such as load balancing, Zookeeper, and micro-service architecture
  • Experience with security and access management
  • Experience with managing distributed databases like Elasticsearch, Cassandra, and timeseries databases
  • Experience with a columnar database such as Redshift, Vertica, or Parquet files
  • Great verbal and written communication skills
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