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

Roles and Responsibilities:

- Translate business requirements into technical data quality rules and maintain Python codebases in Git.
- Develop automated data quality monitoring routines, dashboards, and alerts for key data quality indicators.
- Implement and operate Collibra Data Quality jobs, including dataset creation, rule execution, and troubleshooting.
- Use Collibra DI views, glossary structures, and governance workflows to align with enterprise data standards.
- Audit and profile large datasets to identify patterns, anomalies, and data quality risks; support root-cause analysis and mitigation.

Skills Required:

- 5 - 8 years of experience in data management, data analysis,



data profiling, and statistical techniques.
- Data governance and data quality rule definition aligned to enterprise standards.
- Python for automation, data processing, and script optimization.
- Advanced SQL queries across multiple databases for profiling and data quality investigations.
- Collibra data quality operations including dataset creation, rule execution, and issue resolution.

Positive to Have:

- AWS for cloud-based data quality monitoring and processing.

Education: Any Graduation

📌 Software Engineering Lead Analyst (Hyderabad)
🏢 Careernet
📍 Hyderabad