Qa Automation Engineer (Python)
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| ?Location:Remote (EU-based)?Level:Mid?Type:Full-timeAt Nuvolar, we’re driven by purpose, integrity, and the pursuit of excellence, and we’re looking for aData QA Automation Engineerto join an ambitious project in theairport operations and transportationindustry.In this role, you’ll ensure that our data platform delivers accurate, reliable, and high-quality information, empowering airports to make confident, data-driven decisions that improve efficiency and the passenger experience. This is more than testing; it’s safeguarding the integrity of insights that impact millions of travelers.? What You’ll DoAs part of a cross-functional data team, you’ll design and implement automated testing frameworks, establish quality monitoring systems, and work closely with engineers to embed quality at every stage of the data lifecycle.Your main responsibilities will include:Designing and implementingautomated testing frameworksfor data pipelines, transformations, and validation.Developing and maintainingdata quality metricsto ensure integrity, accuracy, and freshness.Creating automated testing suites usingPythonandPandasfor data validation.Implementingdata validation rulesand anomaly detection tailored to aviation industry datasets.Buildingregression testing frameworksfor data model changes and schema evolution.Monitoring and validatingdata lineageand governance compliance.Collaborating with data engineers to integratequality gatesinto CI/CD pipelines.? What We’re Looking ForMust-haves:4+ years of professional experience indata quality assurance,test automation, ordata testing.StrongPythonskills with experience in testing frameworks and Pandas.Experience testingdata pipelinesandETL/ELT processes.Solid understanding ofdata quality dimensions(accuracy, completeness, consistency, timeliness, validity).Knowledge ofSQLand database testing methodologies.Experience withcloud-based data processing and monitoring.Familiarity withCI/CD pipelinesand automated deployment testing.Strong analytical and problem-solving skills with attention to detail.Nice-to-haves:Experience withApache Sparktesting and optimization.Familiarity withmodern table formatslike Apache Iceberg.Knowledge ofAWS data services(Glue, Athena, S3, Lambda, CloudWatch).Experience withdata observability tools(Monte Carlo, Datadog, custom solutions).? Why You’ll Love Working at NuvolarImpactful Projects- You’ll help reimagine the way airports operate, improving real lives and experiences for millions of travelers.People-First Culture- We care about our team, support each other, and celebrate successes together.Remote-First Approach- Work from anywhere with flexibility and trust.Continuous Learning- Access to training programs, mentorship, career development opportunities, and an annual professional development budget.Health and Wellness Perks- Private health insurance and gym subsidy.Great Company Culture- Team events, knowledge-sharing sessions, and fun activities throughout the year.The Hiring ProcessWe like to keep thingssimple and transparent:HR Interview -A friendly conversation to understand your background and career aspirations.Technical Challenge -A hands-on task to assess your analytical and problem-solving skills.Technical Interview -Meet the team, discuss strategies, and go in-depth into automation practices.If you’re ready to ensure the highest quality standards for data that powers mission-critical decisions, apply now!?To be aware of all of our latest updates, follow us viaLinkedIn | Glassdoor | MediumNuvolar Works is an equal-opportunity employer and will not discriminate against any applicant based on age, gender, sexual orientation, disability, national origin, race, or religion. Candidates with disabilities are encouraged to apply, and we are committed to providing an inclusive and accessible recruitment process. |
Requirements
Must-haves: 4+ years of professional experience in data quality assurance , test automation , or data testing . Strong Python skills with experience in testing frameworks and Pandas. Experience testing data pipelines and ETL/ELT processes . Solid understanding of data quality dimensions (accuracy, completeness, consistency, timeliness, validity). Knowledge of SQL and database testing methodologies. Experience with cloud-based data processing and monitoring . Familiarity with CI/CD pipelines and automated deployment testing. Strong analytical and problem-solving skills with attention to detail. Nice-to-haves: Experience with Apache Spark testing and optimization. Familiarity with modern table formats like Apache Iceberg. Knowledge of AWS data services
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