Sr. Data Analytics Engineer

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.

Responsibilities 

ETL Design and Development, contribute to the development of a big data platform using pipeline technologies such as Spark, Kafka, Airflow 

Design, develop and automate, Self-serviced and Executive dashboards with Tableau and Grafana. 

Expert in normalization/de-normalization techniques for data analysis and optimum performance in big data environment using Presto, Redshift. 

Expert in data warehouse, data lake design, data modeling and data management  

Interface with business customers, gathering requirements and delivering complete reporting solutions. 

Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. 

Deliver near-real-time and batch processed data and applications to a team of analysts and data scientists who create insights and analytics applications for our stakeholders. 

Participate in data strategy and road map exercises, business intelligence/data warehouse product selection, design, and implementation 

 

Qualifications

 

  • Bachelor/master’s in computer science, Engineering, Mathematics, Statistics or related field 
  • 7+ years of work experience with ETL, data modeling, and business intelligence big data architectures. 
  • Proven experience and expertise with Tableau and Grafana
  • Complete understanding of Tableau tools and processes. 
  • Experience with Scheduling and orchestration tools such as Airflow 
  • Proven experience with Python and Pyspark. 
  • Expert in at least one SQL language such as ANSI SQL, T-SQL or PL/SQL. 
  • Experience developing and managing data warehouses on a terabyte or petabyte scale. 
  • Strong experience in distributed and columnar databases. 
  • Advanced ability to draw insights from data and communicate them to the stakeholders and senior management as required 
  • Familiarity with AWS solutions such as S3, Parquet/ORC, Redshift 
  • Working with unstructured or semi-structured datasets 
  • Streaming data systems such as Kafka and Spark Streaming  
  • Distributed processing using tools such as Spark 
  • Container-based deployments using Docker and Kubernetes 
  • Experience working directly with business users and executives to build reports.
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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.
     
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