
1001 - 5000 employees
Founded 1996
🤝 B2B
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.
🕒 June 4
🗣️🇧🇷🇵🇹 Portuguese Required
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1001 - 5000 employees
Founded 1996
🤝 B2B
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.
• 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.
• 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.
• 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.
Apply Now🕒 June 3
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🗣️🇧🇷🇵🇹 Portuguese Required
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