Lead Quality Data Engineer
Lead Quality Data Engineer
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Job Description
Job Title: Lead Quality Data Engineer
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Data Engineering
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Quality Assurance
Our client seeks a passionate Lead Quality Assurance Engineer with expertise in automation data testing and leadership. This role focuses on designing and implementing robust automated testing frameworks for our data processes collaborating with technical and business leaders and contributing to the delivery of industryleading automotive data solutions.
If you are passionate about automation over manual testing and excel in data quality assurance this position offers an excellent career opportunity with competitive compensation professional growth and the chance to work with cuttingedge automotive data and analytics technologies.
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Lead quality efforts for multitiered data solutions using modern tools and methodologies.
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Define and implement QA plans and quality gates for projects.
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Analyze complex systems to define test scenarios and identify root causes of issues.
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Identify opportunities for automation and drive the implementation of solutions.
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Develop and execute data tests for ETLs migrations and conversions.
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Work with large datasets using SQL or NoSQL databases.
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Code in Python and leverage modern frameworks (e.g. PySpark PyTest Pandas).
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Design modular reusable and efficient test automation frameworks.
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Enhance CI/CD pipelines to support testing requirements.
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Lead QA engineers or other technical resources providing constructive feedback.
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Manage competing priorities in a fastpaced environment while mitigating risks.
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Communicate effectively with stakeholders and teams across the organization.
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Data testing and data quality analysis expertise.
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Knowledge of testing techniques best practices and QA strategies.
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Proven ability to test data processes without visual interfaces.
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Experience designing and implementing data quality frameworks.
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Strong database knowledge (SQL/NoSQL) and handling large datasets.
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Handson experience with Python frameworks (e.g. PySpark PyTest Pandas).
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Familiarity with Git CI/CD pipelines and version control systems.
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Experience leading QA engineers or technical resources.
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Strong collaboration and communication skills.
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Quality Assurance certifications (e.g. ASQ).
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Experience with testing tools and research.
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Knowledge of additional programming languages (C# TypeScript JavaScript).
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Familiarity with Kubernetes AWS Data Lakes and modern microservice architectures.
Employment Type
Full Time
