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Senior Data Engineer - Data Quality & Observability

Softgic · Barrio Arca

New Remote
Remote Senior 🇬🇧 English
SQL Aurora PostgreSQL Amazon Redshift GX Core Great Expectations Soda ETL CI/CD Git Rule-as-Code

Job description

About the role

A fully remote Senior Data Engineer is sought to lead the implementation of a modern data quality framework and observability solutions. The role enables engineering teams to detect, monitor and prevent data issues before they affect business operations, by driving engineering-owned data quality practices, operationalizing GX Core and setting validation standards.

Key responsibilities

  • Design and implement a scalable data quality framework across the platform
  • Lead the implementation and operationalization of GX Core (Great Expectations) as the main validation framework
  • Develop reusable data quality rules with a Rule-as-Code approach and automated checks for critical datasets and workflows
  • Implement observability, monitoring, alerting and reporting; define data lineage and validation processes for completeness, accuracy, integrity, consistency, reconciliation, freshness and anomaly detection
  • Integrate data quality validations into CI/CD pipelines and release processes
  • Create dashboards and reports on data quality trends and operational health, and investigate root causes of recurring issues
  • Collaborate with Data Engineering, Application Engineering, QA, Product and Support teams to set ownership, governance, validation frequency, remediation workflows and quality metrics

Required profile

  • 5+ years of experience as a Data Engineer or in similar roles
  • Strong experience designing and implementing enterprise data quality frameworks
  • Hands-on experience with GX Core or similar tools such as Soda
  • Experience building ETL pipelines, data validation rules, reconciliation processes, observability solutions and dashboards
  • Strong analytical and problem-solving skills, including root cause analysis, and experience with cross-functional engineering teams

Required skills

  • SQL, Aurora PostgreSQL and Amazon Redshift
  • Data modeling, referential integrity, synchronization and batch processing
  • Git and engineering best practices such as Rule-as-Code
  • CI/CD integration and dashboard/alerting development

What we offer

  • Fully remote position
  • Opportunity to build enterprise-scale data quality and observability solutions
  • High-impact role with ownership of data quality strategy and engineering best practices
  • Collaboration with Data Engineering, QA, Product and Application Engineering teams

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Published 4 days ago

Expires 1 month from now

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Softgic

Barrio Arca