Data Quality Engineer: Azure & Databricks, Flexible Work

Blend; Región Centro; Presencial; MXN 601.581 - 859.402; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Certifications in AWS, Databricks, and Snowflake

Access to AI learning paths

Flexible working options

Career development plans

Descripción de la vacante

Blend is seeking an experienced Data Quality Engineer in Mexico to ensure the quality of data across modern data platforms. You will validate data integrity, implement quality checks, and work closely with Data Engineering teams to ensure accurate data assets.

The role requires strong expertise in Azure and Databricks, along with at least 3 years of experience in Data Engineering or Data Quality. You will document processes and support business stakeholders in validating outputs.

Formación

• 3+ years of experience in Data Engineering or Data Quality roles.
• Strong understanding of testing methodologies for data pipelines.
• Experience validating ETL/ELT processes in layered architectures.

Responsabilidades

• Design and implement a data quality framework across data layers.
• Build and maintain automated data quality checks within Databricks.
• Validate identity resolution outputs and perform end-to-end pipeline testing.

Conocimientos

Azure-based data platforms

Data quality frameworks

SQL

Automated data validation

Data analysis

Collaboration

Analytical thinking

Attention to detail

Herramientas

Databricks

Descripción del empleo

Blend is seeking an experienced Data Quality Engineer in Mexico to ensure the quality of data across modern data platforms. You will validate data integrity, implement quality checks, and work closely with Data Engineering teams to ensure accurate data assets.

The role requires strong expertise in Azure and Databricks, along with at least 3 years of experience in Data Engineering or Data Quality. You will document processes and support business stakeholders in validating outputs.