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Accountabilities:
- Design and implement a scalable enterprise data quality framework across data platforms and business domains.
- Lead the implementation and operationalization of GX Core (Great Expectations) or similar data validation solutions.
- Build automated validation checks for critical datasets, workflows, and operational processes.
Requirements:
- 5+ years of experience as a Data Engineer or in a similar role.
- Proven experience with enterprise-level data quality frameworks and tools like GX Core or Soda.
- Strong SQL skills and experience with databases such as Aurora PostgreSQL and Amazon Redshift.
Benefits:
- Fully remote work opportunity.
- Opportunity to build enterprise-scale data quality and observability solutions.
- High-impact role with ownership over data reliability strategy.
Partner Company
The hiring company is a technology organization specializing in data engineering and quality solutions. They offer a remote work environment and emphasize collaboration across engineering teams.