Back
Tier-1 brand, mid-level experience band, and metro hybrid increase competition despite Collibra specialization.
Medium because Python/SQL are transferable but Collibra and governance expertise require domain-specific experience.
High due to explicit 5-8 years requirement plus mandatory Collibra, Python, and advanced SQL skills.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Translate business requirements into automated data quality rules and maintain Python codebases using git.
Develop and operate Collibra Data Quality jobs, dashboards, and alerts to monitor key data quality indicators across enterprise data sources.
Audit and profile large datasets to identify and mitigate data quality risks collaborating with data governance, engineering, and business teams.
5 to 8 years of experience in data management, data analysis, or data profiling including statistical techniques.
Expertise in Python programming focused on automation and data processing; proficient in Advanced SQL querying across multiple databases.
Hands-on experience with Collibra Data Quality tools and governance workflows.
Familiarity with cloud file processing (e.g., AWS S3), service account authentication, and endpoint testing.
Experienced in integrating data quality processes with cloud and on-premise data sources (Oracle, S3).
Skilled in translating complex business logic into scalable, automated data quality solutions governed by enterprise standards.
Comfortable working in technically rigorous environments demanding accountable, high-quality code delivery and cross-team collaboration.