Senior Data Quality Engineer

🕒 June 4

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 39%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Keyrus

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1996

🤝 B2B

💼 Consulting

B2B • Data Analytics • Consulting

Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.

📋 Description

• Design and evolve code-based data quality frameworks (Quality as Code). • Develop and implement automated quality validations. • Define quality strategies for structured and unstructured data. • Build controls, rules, and continuous monitoring mechanisms. • Implement alerts and proactive failure-detection processes. • Support the definition and tracking of data quality metrics. • Participate in the investigation and resolution of data-related incidents. • Collaborate with engineering, analytics, and data governance teams. • Propose continuous improvements to increase corporate data reliability.

🎯 Requirements

• Proven experience working with Data Quality. • Senior profile with the autonomy to design and execute end-to-end initiatives. • Strong experience defining data quality rules and controls. • Experience with data monitoring and handling inconsistencies. • Advanced SQL proficiency. • Experience manipulating, analyzing, and validating large volumes of data. • Ability to investigate and resolve complex data quality issues.

🏖️ Benefits

• We encourage everyone to participate in our hiring process regardless of gender, age, race, or religion. • We do not tolerate any form of discrimination. • Training and development opportunities that support professional growth. • Opportunity to work with large teams.