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- Brazil, Brasilien
- Brasilien
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[Job-29492] Senior Data STEWARD ( Governance ) , Brazil at ciandt: Brazil, Brasilien, Brasilien; Vor Ort; IT; Sonstige IT. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Brazil, Brasilien, Brasilien, Vor Ort
- Role classification: IT, Sonstige IT
- Source freshness: checked by JobGrid on 2026-05-31.
- Application path: candidates continue to the employer application page with non-personal referral tags.
We are seeking a knowledgeable and skilled Data Steward to join our team. This role is accountable for ensuring quality, governance, and usability of data across the organization through metadata collection and communication across all data governance policies, managing data quality, and source data-related requests.
Key SkillsExpertise
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Deep dive into industry-specific concepts, business rules, and data requirements.
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Familiarity with data management.
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Knowledge of data quality standards, data contracts, and data governance.
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Familiarity with data governance concepts and practices.
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Data Manipulation and Transformation (ETL/ELT)
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DataBricks Familiarity
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Programming Logic
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Python understanding
Individual Skills
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Strong ability to navigate enterprise management issues.
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Exceptional problem-solving skills along with strong resilience.
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Excellent communication and negotiation skills; able to articulate and negotiate effectively.
Mindset & Behaviors
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Strong sense of ownership, accountability, and collaborative working behaviors.
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Flexibility to adapt data governance and data stewardship execution.
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Manage metadata-related requests and documentation.
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Act as a business/governance analyst to document and manage data-related topics.
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Work with source data owners and business partners to ensure documented data ownership.
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Follow data governance policy and standards.
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Identify data issues and escalate through the proper governance process.
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Profile and create basic data quality checks.
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Proven experience in Data Governance, with a strong understanding of data management principles and practices.
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Familiarity with Data Engineering concepts, including data ingestion processes and tools, particularly in Databricks.
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Strong communication skills in English, with the ability to convey complex information clearly and effectively.
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A balance of soft skills, including teamwork, adaptability, and conflict resolution.