Senior Data Engineer: Remote Data Quality & Observability

SOFTGIC; Villa Adelina; Presencial; ARS 134.860.000 - 224.766.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote

High impact role

Collaborative team

Modern data tech

Descripción de la vacante

SOFTGIC is seeking a Senior Data Engineer to lead the data quality and observability program. You will implement a modern data quality framework, operationalize GX Core, establish validation standards, and build observability solutions to improve confidence across reporting and workflows.

You will drive data quality practices, define lineage, and integrate validations into CI/CD with cross-functional collaboration. Strong SQL, Big data, and cloud data tooling are essential.

Formación

• 5+ years of experience as a Data Engineer or in similar data engineering roles.
• Experience designing enterprise Data Quality frameworks.
• Hands-on with GX Core (Great Expectations) or Soda.
• Strong SQL skills with Aurora PostgreSQL and Redshift.

Responsabilidades

• Design and implement a scalable data quality framework across the platform.
• Lead the implementation and operationalization of GX Core as the primary data validation framework.
• Develop and maintain reusable data quality rules using a Rule-as-Code approach.
• Create automated validation checks for business-critical datasets and workflows.
• Implement data observability, monitoring, alerting, and reporting solutions.
• Define and maintain data lineage across key business domains.
• Design validation processes for data completeness, accuracy, integrity, consistency, reconciliation, freshness, and anomaly detection.
• Integrate data quality validations into CI/CD pipelines and release processes.
• Develop dashboards and reports to monitor data quality trends and operational health.
• Investigate root causes of recurring data issues and implement preventive solutions.
• Collaborate with Data Engineering, Application Engineering, QA, Product, and Support teams to establish ownership and governance for data quality.
• Define standards for governance, validation frequency, remediation workflows, and quality metrics.
• Continuously improve data quality processes and establish long-term observability best practices.

Conocimientos

Data engineering

Data quality

Observability

SQL

Great Expectations

Soda

Git

CI/CD

Herramientas

GX Core (Great Expectations)

Soda

Aurora PostgreSQL

Amazon Redshift

Git

Descripción del empleo

SOFTGIC is seeking a Senior Data Engineer to lead the data quality and observability program. You will implement a modern data quality framework, operationalize GX Core, establish validation standards, and build observability solutions to improve confidence across reporting and workflows.

You will drive data quality practices, define lineage, and integrate validations into CI/CD with cross-functional collaboration. Strong SQL, Big data, and cloud data tooling are essential.