Remote Senior Data Quality Engineer: Lakehouse Automation

BairesDev; México; A distancia; MXN 1.547.000 - 2.063.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

USD or local currency compensation

Home office setup

Flexible hours

Parental leave & holidays

Mentorship and growth

Descripción de la vacante

BairesDev is hiring a Senior Data Quality Engineer to own automated data quality frameworks in a lakehouse environment, ensuring trust and precision across enterprise data assets. You will guard against schema anomalies and enforce strict completeness SLAs while collaborating with global engineering teams.

The role emphasizes building robust DQ automation, regression testing, and data validation, with a remote, flexible work culture and strong growth opportunities.

Formación

• 5+ years of experience in Data Engineering or Data Quality.
• Experience with data quality automation in Databricks lakehouse environments.
• Experience with automated DQ validation, regression testing, and completeness SLAs.
• Knowledge of schema drift detection and Great Expectations or Deequ.
• Proficient in English.

Responsabilidades

• Design and implement automated data quality validation frameworks across pipelines and data products.
• Develop mechanisms for schema drift detection to capture format variations dynamically.
• Establish and enforce data completeness SLAs for high-integrity data availability.
• Build automated regression testing suites tailored to lakehouse architectures.
• Partner with engineering teams to identify, isolate, and resolve data defects.

Conocimientos

Data engineering

Data quality

Databricks lakehouse

DQ automation

Regression testing

Completeness SLAs

Schema drift detection

Great Expectations/Deequ

English

Herramientas

Databricks

Great Expectations

Descripción del empleo

BairesDev is hiring a Senior Data Quality Engineer to own automated data quality frameworks in a lakehouse environment, ensuring trust and precision across enterprise data assets. You will guard against schema anomalies and enforce strict completeness SLAs while collaborating with global engineering teams.

The role emphasizes building robust DQ automation, regression testing, and data validation, with a remote, flexible work culture and strong growth opportunities.