Sr. Big Data QA Engineer
Newark, CA
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.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.
Role
- 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.
Qualifcations
- 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.
Tags: Airflow AWS Big Data CI/CD Computer Science Data pipelines Engineering ETL Grafana Hadoop Jira Kafka NoSQL Pipelines Python Spark SQL Streaming Tableau Testing
Perks/benefits: Flex hours Health care
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