Data Quality Engineer QA
Core
Designing and implementing an enterprise-wide data quality framework to ensure data assets meet standards through automated validation, monitoring, and anomaly detection.
Role type
Senior Data Quality Engineer
Builds
Automated data quality test suites, dashboards, observability solutions, and CI/CD integrations
Domain
Data Engineering / Data Quality / Lakehouse Platforms
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data quality framework design, automated validation, anomaly detection, SQL, Python, Apache Spark, dbt, data profiling, data observability, CI/CD integration, SLA management
Preferred skills
Databricks, Snowflake, DataHub, data contracts, data mesh architectures
Technologies
Great Expectations, dbt, Soda Core, Monte Carlo, Bigeye, Airflow, Apache Spark
Responsibilities
Design and implement comprehensive data quality frameworks; Build automated data quality test suites; Develop data quality dashboards and scorecards; Implement anomaly detection and data observability solutions; Integrate quality checks into CI/CD pipelines; Define and manage SLAs for data quality; Triage and resolve data quality incidents; Profile new data sources to establish baseline benchmarks; Educate teams on data quality standards
Seniority
Senior, hands-on IC
