Big Data Engineer

Beaverton, OR

Applications have closed

Lucid Motors

With extraordinary design, performance, range, convenience, and utility, Lucid Gravity is the future of sustainable mobility, reimagining the luxury electric SUV.

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Leading the future in luxury electric and mobilityAt 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.
Requirements: 
Hands-on design and develop streaming and IoT data pipelines.  Developing streaming pipeline Kafka, Spark, Scala and PythonPython scripting for automation and application development  Design ETL in Apache Airflow and other dependency enforcement and scheduling tools. Hands-on data modeling and data warehousing   Deploy solution using  AWS, S3, Redshift and Docker/Kubernetes  Develop storage and retrieval system using  Presto and Parquet/ORC  Scripting with Apache Spark and data frame.

Qualifications

  • Bachelor or Masters in Software Engineering or Computer Science 
  • 3+ years of experience in Data Engineering and Business Intelligence. 
  • Excellent coding, scripting and problem solving skills. 
  • Experience in tools such as Spark, Kafka, S3, Hive, Data Lake
  • Experience with AWS, S3, Redshift  
  • Experience with Presto and Parquet/ORC  
  • Proficient with Apache Spark and data frame. 
  • Experienced in containerization, including Docker and Kubernetes 
  • Expert in tools such as Apache Spark, Apache Airflow, Presto 
  • Expert in design and implement reliable, scalable, and performant distributed systems and data pipelines 
  • Extensive programming and software engineering  experience, especially in Java, Python, 
  • Experience with Columnar database such as Redshift, Vertica 
  • Great verbal and written communication skills.  
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 StatesAt 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.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Airflow AWS Big Data Business Intelligence Computer Science Data pipelines Data Warehousing Distributed Systems Docker Engineering ETL Kafka Kubernetes Parquet Pipelines Python Redshift Scala Spark Streaming

Region: North America
Job stats:  2  0  0

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