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 Big Data QA 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 very talented team of engineers, and collaborating with the brightest mind in the Automotive industry is what you like, Lucid is the best experience.
Design and implement Test Automation frameworks using Python, SQL, Airflow.
Develop test strategies, plans, test cases, and engineering best practices related to software test engineering, both manual and automated testing with a specific focus on data quality.
Using Tableau, Python, Presto and Grafana create active quality monitoring for data pipelines and processes.
Work closely with data engineers, data scientists and analysts to inform solution designs in terms of testability.
Building and automating testing frameworks around data ingestion pipelines and active monitoring.
Build and maintain testing frameworks for big data environments that are highly secure, scalable, flexible, and performant using appropriate SQL technologies.
Lead data governance and data profiling efforts to ensure data quality and proper meta-data documentation for data lineage.
Creating quality metrics to evaluate data pipelines, visualizations, and dashboards.
Testing distributed computation platform for streaming big data.
Data Pipeline, ETL and batch processing testing, and validation.
Implement and execute test strategies on all supported platforms and languages to help improve the overall quality and test code coverage.
Design and develop integration, regression, and stress tests using industry-standard tools.
Collaborate with Business Analysts and Developers to understand requirements and translate them into test cases.
Define, implement, and maintain test plans, test specifications, and test suites.
Identify and execute on opportunities to improve the QA process.
Educate Engineering and Product on testing and QA; partner with them to determine product quality goals and measurements.
Reproduce, isolate, and debug issues, providing detailed bug reports
Develops and enhances the test infrastructure and continuous integration framework used across teams.
BA/BS Degree in Computer Science or related technical discipline, or 4+ years of related practical experience.
6+ years of industry experience in data engineering, BI, and Quality Assurance.
Experienced in Python, SQL, Tableau, Airflow, Data Warehouse, and Data Lake.
Hands-on experience testing, ETL pipeline, Kafka, Spark, and Presto.
Sound understanding of various cloud technologies, especially AWS.
Experience in working with large scale Enterprise data warehouse, data integration, data migration, and data quality verification.
Hands-on testing experience in working with Hadoop, Spark, and other Big data technologies.
Skilled in integrating project testing with continuous-integration process (CI/CD)
Working knowledge of test methodologies, processes, and tools (Selenium, Appium, JIRA, STLC, Jama).
Knowledge of industry-standard test automation tools and experience in developing product test harnesses and instrumenting products to gather test results.
Knowledge of relational and NoSQL databases, and queries.
Experience working with black box/grey-box testing.
Experience performing code reviews and code quality check
Understands designing and coding for testability to produce quality code.
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.