Software Engineering Lead Analyst

Careernet; Hyderabad, Bengaluru; Hybrid; INR 1,200,000 - 1,700,000; Full time

Job summary

Careernet in Hyderabad seeks a data quality professional with 5-8 years of experience to translate business requirements into technical data quality rules and maintain Python codebases.

You will develop automated data quality monitoring, dashboards, and alerts, implement Collibra Data Quality jobs, and leverage Collibra DI views, glossary, and governance workflows to align with enterprise data standards. Strong SQL skills required.

Qualifications

• 5-8 years of experience in data management, data analysis, data profiling, and statistical techniques.
• Proficiency in Python for automation and data processing.
• Strong data quality knowledge and rule-based quality checks.
• Hands-on experience with Collibra Data Quality and DI views/glossary/governance workflows.
• Advanced SQL skills across multiple databases.
• Git experience for version control.

Responsibilities

• Translate business requirements into technical data quality rules and maintain associated Python codebases using 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.
• Leverage 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.

Skills

Collibra

Data quality

Python

Data Governance

SQL

Education

Any Graduation

Tools

Collibra

Git

SQL

Job description

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

Roles and Responsibilities:

• Translate business requirements into technical data quality rules and maintain associated Python codebases using 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.
• Leverage 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.

Skills Required:

• 5 - 8 years of experience in data management, data analysis, data profiling, and statistical techniques
• Python (automation and data processing)
• Data Quality (concepts and rule-based quality checks)
• Collibra (Collibra Data Quality and DI views/glossary/governance workflows)
• SQL (advanced queries across multiple databases)

Good to Have:

• Data Governance
• AWS (cloud file processing and related authentication patterns)

Education: Any Graduation