Data Quality Engineer (QA)

Stack

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 for data producers and consumers
• ▹Implement anomaly detection and data observability solutions (Monte Carlo, Bigeye, or custom)
• ▹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 the data governance team to enforce quality rules aligned with business glossary definitions
• ▹Profile new data sources during onboarding to establish baseline quality benchmarks
• ▹Educate data engineering and product teams on data quality standards and measurement approaches

Requirements

• ▹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

Nice to have

• ▹Experience with Databricks or Snowflake native data quality 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 we offer

• ▹Competitive salary
• ▹Comprehensive, country-tailored benefits supporting well-being and work-life balance

About the company

Dynata is the world's largest first-party data and insights platform, with a reach of 62 million consumers and business professionals globally and an extensive library of individual profile attributes.