Data Engineer Specialist (Data Quality)

📋 Description

• Act as the primary technical reference for Data Quality, defining standards, frameworks, processes
• Design, implement, and continuously evolve automated data quality controls across the complete
• Lead Data Quality initiatives in partnership with Data Engineering, Data Governance, and business
• Define and implement data quality metrics, validation rules, SLAs, scorecards, and monitoring
• Integrate Data Quality practices with DataOps, data observability, CI/CD, testing automation, and
• Support the implementation and evolution of Data Catalog, Data Lineage, Metadata Management, and

🎯 Requirements

• Bachelor’s degree in Technology, Engineering, Mathematics, Statistics, or a related field.
• Solid Data Engineering experience in large-scale corporate analytical environments, with
• Proven experience implementing Data Quality initiatives, including the definition of rules and
• Advanced knowledge of Data Quality Frameworks, Data Profiling, Data Validation, Data Cleansing, and
• Experience with analytical platforms such as Databricks, Snowflake, or equivalent technologies.
• Strong experience developing data pipelines using SQL, Python, and modern Data Engineering tools

🎁 Benefits

• Fully remote work model.
• Opportunity to operate as a technical reference for Data Quality within a large-scale data
• Exposure to modern Data Engineering, Data Quality, DataOps, observability, and Data Governance
• Opportunity to influence technical roadmaps, architectural decisions, and enterprise data standards.
• Collaboration with Data Engineering, Data Governance, business, and international teams.
• Technical mentorship opportunities and the ability to contribute to organizational maturity in Data