Senior Data Engineer – Data Quality & Observability Remote

Softgic S.; Buenos Aires; Presencial; ARS 179.323.948 - 268.985.923; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote position

Ownership over data quality strategy

Collaboration with cross-functional 팀

Descripción de la vacante

Softgic S. is seeking a Senior Data Engineer to lead the data quality and observability program, building scalable quality frameworks, validating data across domains, and embedding best practices into engineering workflows.

In this remote role, you will drive the integration of GX Core and establish robust validation, lineage, and monitoring across the data platform, partnering with cross-functional teams to ensure data integrity and operational excellence.

Formación

• 5+ years of experience as a Data Engineer or in similar data engineering roles.
• Strong experience designing and implementing enterprise Data Quality frameworks.
• Hands-on experience with GX Core (Great Expectations) or similar tools such as Soda.
• Strong SQL skills and experience working with Aurora PostgreSQL and Amazon Redshift.
• Experience designing data validation rules, reconciliation processes, and observability solutions.
• Experience building and maintaining ETL pipelines and large-scale data workflows.
• Strong understanding of data modeling, referential integrity, synchronization, and batch processing.
• Experience integrating data validation into CI/CD pipelines.
• Experience with Git and engineering best practices such as Rule-as-Code.
• Experience building dashboards, alerts, and reporting for operational monitoring.
• Strong analytical and problem-solving skills with experience performing root cause analysis.
• Experience collaborating with cross-functional engineering teams.
• Excellent communication and documentation skills.

Responsabilidades

• Design and implement a scalable data quality framework across the platform.
• Lead the implementation and operationalization of GX Core (Great Expectations) 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 Quality

Observability

SQL

CI/CD integration

Communication

Problem solving

Collaboration

Documentation

Data Modeling

ETL pipelines

Herramientas

GX Core (Great Expectations)

Soda

Aurora PostgreSQL

Amazon Redshift

Git

Descripción del empleo

Softgic S. is seeking a Senior Data Engineer to lead the data quality and observability program, building scalable quality frameworks, validating data across domains, and embedding best practices into engineering workflows.

In this remote role, you will drive the integration of GX Core and establish robust validation, lineage, and monitoring across the data platform, partnering with cross-functional teams to ensure data integrity and operational excellence.