Data Quality Engineer QA
虽然我们不需要立即开设招聘，但我们经常扩大我们的团队并有兴趣与才华横溢的专业人士联系。合格的候选人将被邀请到招聘团队，如果成功的话，他们将加入我们的才能库来获得未来机会。这个职位是目前在匈牙利居住和工作合法权的候选人的。只有符合这些要求的入围名单的候选人在接下来的步骤中会联系。数据质量工程师负责整个企业湖泊平台的数据质量框架设计和实施。这一职责确保数据资产通过自动验证，监测，异常检测和事件管理满足定义的质量标准，从而建立对组织中数据的信任。关键责任 ▸设计并实现全面的数据质量的框架，涵盖完整性，准确性，一致性，及时性和独特性 ▸使用大期望，dbt 测试或 Soda 构建自动化数据质量测试套件 ▸开发数据质量核心仪表和分数卡以为数据生产者和消费者提供可见度 ▸实施异常检测和数据可观察性解决方案 （蒙特卡洛，比格伊或定制解决方案）▸将质量检查集成到 CI/CD 管道中以防止坏数据进入生产层面的情况 ▸定义并管理在管道和数据产品水平上的数据质量 SLAs ▸与上游源所有者协调处理和解决数据质量事件 ▸与数据治理团队合作执行符合业务词典定义的质量规则 ▸作为安装过程的一部分配置新的数据来源以建立基线质量基准标准 ▸教育数据工程和产品团队对数据质量标准和测量方法 要求的资格 ▸ 4年以上数据工程，数据质量或分析工程职业 ▸实践经验与数据质量工具：大期望，dbt 测试，索达，蒙特卡洛等 ▸强大的 SQL 和 Python 技能用于编写验证逻辑和质量计量查询 ▸对大规模数据转换和测试的 Apache Spark 或 dbt 的经验 ▸熟悉数据配置技术和异常检测统计方法 ▸了解数据可观察性概念
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This role is part of our talent pipeline for future hiring needs. While there may not be an immediate opening, we regularly expand our team and are interested in connecting with talented professionals.
Qualified candidates will be invited to meet the Hiring Team and, if successful, will join our talent pool for future opportunities.
This position is open to candidates currently based in Hungary who have the legal right to live and work in the country. Only shortlisted candidates who meet these requirements will be contacted regarding next steps.
THE ROLE
The Data Quality Engineer is responsible for designing and implementing the data quality framework across the enterprise lakehouse platform. This role ensures that data assets meet defined quality standards through automated validation, monitoring, anomaly detection, and incident management, building trust in data across the organization.
KEY RESPONSIBILITIES
▸ Design and implement a comprehensive data quality framework covering completeness, accuracy, consistency, timeliness, and uniqueness
▸ Build automated data quality test suites using Great Expectations, dbt tests, or Soda Core
▸ Develop data quality dashboards and scorecards to provide visibility to data producers and consumers
▸ Implement anomaly detection and data observability solutions (Monte Carlo, Bigeye, or custom solutions)
▸ Integrate quality checks into CI/CD pipelines to prevent bad data from reaching production
▸ Define and manage SLAs for data quality at the pipeline and data product level
▸ Triage and resolve data quality incidents, coordinating with upstream source owners
▸ Collaborate with data governance team to enforce quality rules aligned with business glossary definitions
▸ Profile new data sources as part of the onboarding process to establish baseline quality benchmarks
▸ Educate data engineering and product teams on data quality standards and measurement approaches
REQUIRED QUALIFICATIONS
▸ 4+ years in data engineering, data quality, or analytics engineering roles
▸ Hands-on experience with data quality tools: Great Expectations, dbt tests, Soda, Monte Carlo, or similar
▸ Strong SQL and Python skills for writing validation logic and quality metric queries
▸ Experience with Apache Spark or dbt for large-scale data transformation and testing
▸ Familiarity with data profiling techniques and statistical approaches to anomaly detection
▸ Knowledge of data observability concepts and their application in lakehouse environments
▸ Experience with Airflow or similar orchestration tools to schedule quality jobs
▸ Bachelor's degree in Computer Science, Statistics, Engineering, or related field
PREFERRED QUALIFICATIONS
▸ Experience with Databricks or Snowflake data quality native features
▸ Knowledge of DataHub or data catalog integration for quality score publishing
▸ Familiarity with data contracts and shift-left quality approaches in data mesh architectures
What Dynata Can Offer You
In addition to a competitive salary, we offer a comprehensive range of benefits tailored to each country. Our benefits are designed to support your well-being and help you achieve a healthy work-life balance.
About Us
Dynata is the world’s largest first-party data and insights platform. With a reach that encompasses 62 million consumers and business professionals globally, and an extensive library of individual profile attributes collected through surveys, Dynata is the cornerstone for precise, trustworthy quality data. The company has built innovative data services and solutions around its robust first-party data offering to bring the voice of the customer to the entire marketing continuum – from strategy, innovation, and branding to advertising, measurement, and optimization. Dynata serves nearly 6,000 market research, media and advertising agencies, publishers, consulting and investment firms and corporate customers in North America, South America, Europe, and Asia-Pacific. Learn more at www.dynata.com.
At Dynata, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. Dynata welcomes and encourages applications from people with disabilities. We are committed to an inclusive work culture for all our employees. Accommodations by request can be made for all aspects of the selection process.
For administrative purposes your personal data will be kept on record and will be disclosed and transferred both within and outside the European Economic Area, including the United States of America. We shall take all reasonable steps to prevent any unauthorized access to your personal data.
Originally posted on Himalayas