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 currently seeking a Big Data Engineer who will be streaming pipeline Kafka, Spark, Scala and Python. You will be hands-on to design and develop streaming and IoT data pipelines. Our ideal candidate exhibits a can-do attitude and approaches his or her work with vigor and determination. Candidates will be expected to demonstrate excellence in their respective fields, to possess the ability to learn quickly and to strive for perfection within a fast-paced environment.
Hands-on design and develop streaming and IoT data pipelines.
Developing streaming pipeline Kafka, Spark, Scala and Python
Python 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.
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 frames
Experienced in containerization, including Docker and Kubernetes
Expert in tools such as Apache Spark, Apache Airflow, Presto, and Kubeflow
Expert in design and implement reliable, scalable, and performant distributed systems and data pipelines
Extensive programming and software engineering experience, especially with Scala, Java or Python
Experience with a columnar database such as Redshift or 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 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.