Data Quality Engineer — Azure & Databricks

Visa Hunt; Argentina; Híbrido; ARS 105.694.000 - 150.991.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

AWS Certifications (optional)

Databricks Certification

Snowflake Certification

AI learning paths

Udemy Business access

English lessons

Travel opportunities

Mentorship programs

Equipment provided

Flexible working options

Descripción de la vacante

Blendis is hiring a Data Quality Engineer to safeguard data integrity across modern platforms. You will validate pipelines from ingestion to gold, implement automated checks in Databricks, and reconcile data with source systems.

This role collaborates with Data Engineers and business stakeholders to ensure production-ready data assets. Ideal candidates have 3+ years in Data Engineering or Data Quality, strong SQL, and experience with Azure/Databricks.

Formación

• 3+ years of experience in Data Engineering or Data Quality roles.
• Experience with Azure-based data platforms and Databricks.
• Strong SQL skills and data validation experience.
• Knowledge of data quality frameworks and testing methodologies for data pipelines.
• Experience validating ETL/ELT processes across Bronze/Silver/Gold layers.
• Ability to monitor, alert, and troubleshoot data pipelines.

Responsabilidades

• Design and implement a data quality framework across Bronze, Silver, and Gold layers with validation rules and alerting standards.
• Build and maintain automated data quality checks within Databricks pipelines.
• Own reconciliation between source systems and Databricks layers to ensure accurate transformations.
• Validate identity resolution outputs in the Silver layer and ensure proper enterprise identifiers.
• Perform end-to-end pipeline testing from ingestion to Gold layer and reporting outputs.
• Collaborate with Data Engineers to define sprint acceptance criteria for pipelines and data models.
• Support UAT with client stakeholders and document QA findings for handoff.

Conocimientos

Azure

Databricks

SQL

Data quality frameworks

ETL/ELT validation

QA testing

Data pipeline monitoring

Analytical thinking

Stakeholder collaboration

Herramientas

Databricks

Azure

SQL

Descripción del empleo

Blendis is hiring a Data Quality Engineer to safeguard data integrity across modern platforms. You will validate pipelines from ingestion to gold, implement automated checks in Databricks, and reconcile data with source systems.

This role collaborates with Data Engineers and business stakeholders to ensure production-ready data assets. Ideal candidates have 3+ years in Data Engineering or Data Quality, strong SQL, and experience with Azure/Databricks.