Description

Key Skills: Collibra, Data quality, SQL, Python, AWS Cloud

Roles and Responsibilities:

• Translate business requirements into technical data quality rules and maintain associated Python codebases leveraging git.
• Develop automated data quality monitoring routines, dashboards, and alerts for key data quality indicators.
• Implement and operate Collibra Data Quality (DQ) jobs, including dataset creation, rule execution, and troubleshooting.
• Leverage Collibra DI views, glossary structures, and governance workflows to ensure alignment with enterprise data standards.
• Audit and profile large datasets to identify patterns, anomalies, and data quality risks; support root-cause analysis.
• Partner with data governance, engineering, and business teams to monitor, manage, and mitigate data quality issues.
• Integrate DQ processes with cloud and on-prem data sources (Oracle, S3, etc.).

Skills Required:

• 5 - 8 years of experience in data management, data analysis, data profiling, and statistical techniques.
• Must have a thorough understanding of concepts of Data Quality.
• Expert Python skills, including automation, data processing, and script optimization.
• Hands-on experience with Collibra Data Quality, including dataset creation, DQ job execution, agent configuration, and issue resolution.
• Strong understanding of Collibra DI views, glossary hierarchies, and governance workflows.
• Must be proficient in writing Advanced SQL queries going against multiple databases.
• Familiarity with cloud file processing (S3), service account authentication, and endpoint testing.

Required Skills:

• Data Quality, SQL, Collibra, Python

Preferred Skills, Experience & Education:

• Cloud (AWS Preferred )

Education: Only Technical - BTech, MTech, MCA

Key Skills

Education

Any Graduate