Senior Software Engineer

Vlink; Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Vlink in Hyderabad, India, is seeking a Data Quality Analyst Engineer to develop automated data quality rules, monitoring dashboards, and Collibra workflows. You will work with Data Governance, Engineering, and Business teams to ensure trusted enterprise data.

The role requires 5+ years in data management, strong Python/SQL, Collibra DQ expertise, and experience with AWS S3 and Oracle. You will join Agile teams and document procedures to enable data governance across the organization.

Qualifications

• 5+ years of experience in Data Management, Data Quality, Data Analysis, and Data Profiling.
• Strong understanding of Data Quality concepts and best practices.
• Expert-level Python programming skills.
• Hands-on experience with Collibra Data Quality (DQ) including: Dataset Creation, DQ Job Execution, Agent Configuration, Issue Resolution, Collibra DI Views, Glossary Structures, Governance Workflows.
• Advanced SQL across multiple databases, AWS S3 and Oracle databases.
• Experience with Git version control and data governance.

Responsibilities

• Translate business requirements into data quality rules and maintain Python codebases using Git.
• Develop automated data quality monitoring routines, dashboards, and alerts for key data quality indicators.
• Implement, configure, and maintain Collibra Data Quality (DQ) jobs.
• Create and manage datasets, execute DQ jobs, configure agents, and troubleshoot issues.
• Perform data profiling and auditing to identify anomalies, trends, and data quality risks.
• Conduct root cause analysis and recommend corrective actions.
• Collaborate with business, governance, and engineering teams to resolve data quality issues.
• Utilize Collibra DI Views, glossary hierarchies, and governance workflows.
• Ensure compliance with enterprise data governance standards.
• Support metadata management and data governance initiatives.
• Write advanced SQL queries across multiple databases.
• Integrate data quality processes with Oracle databases and AWS S3.
• Support cloud file processing, service account authentication, and endpoint testing.
• Ensure secure and reliable integration with cloud and on-premise data sources.
• Work closely with Data Governance, Engineering, and Business teams.
• Participate in Agile/Scrum ceremonies.
• Maintain technical documentation and operational procedures.
• Recommend continuous improvements to enterprise data quality processes.

Skills

Data Management

Data Quality

Data Analysis

Data Profiling

Python

Collibra DQ

SQL

AWS

Oracle DB

Git

Communication

Education

Bachelor's degree in CS or related field

Tools

Collibra DQ

Git

Power BI

Tableau

Shell Scripting

AWS S3

Job description

Category: Software Development/ Engineering

Shift: General

Position ID: J0726-0760

Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 4 years of relevant experience.

Position Description: We are seeking a highly skilled Data Quality Analyst Engineer to ensure trusted, high-quality enterprise data by developing automated data quality rules, monitoring frameworks, dashboards, and alerts. The ideal candidate will possess strong expertise in Collibra Data Quality, Python, SQL, and AWS and will collaborate with Data Governance, Engineering, and Business teams to identify, monitor, and mitigate data quality issues while supporting enterprise governance initiatives.

Your future duties and responsibilities

• Translate business requirements into technical data quality rules and maintain Python codebases using Git.
• Develop automated data quality monitoring routines, dashboards, and alerts for key data quality indicators.
• Implement, configure, and maintain Collibra Data Quality (DQ) jobs.
• Create and manage datasets, execute DQ jobs, configure agents, and troubleshoot issues.
• Perform data profiling and auditing to identify anomalies, trends, and data quality risks.
• Conduct root cause analysis and recommend corrective actions.
• Collaborate with business, governance, and engineering teams to resolve data quality issues.
• Utilize Collibra DI Views, glossary hierarchies, and governance workflows.
• Ensure compliance with enterprise data governance standards.
• Support metadata management and data governance initiatives.
• Write advanced SQL queries across multiple databases.
• Integrate data quality processes with Oracle databases and AWS S3.
• Support cloud file processing, service account authentication, and endpoint testing.
• Ensure secure and reliable integration with cloud and on-premise data sources.
• Work closely with Data Governance, Engineering, and Business teams.
• Participate in Agile/Scrum ceremonies.
• Maintain technical documentation and operational procedures.
• Recommend continuous improvements to enterprise data quality processes.

Required qualifications to be successful in this role

Must-Have Skills:

• 5+ years of experience in Data Management, Data Quality, Data Analysis, and Data Profiling.
• Strong understanding of Data Quality concepts and best practices.
• Expert-level Python programming skills.
• Hands-on experience with Collibra Data Quality (DQ) including:
• Dataset Creation
• DQ Job Execution
• Agent Configuration
• Issue Resolution
• Collibra DI Views
• Glossary Structures
• Governance Workflows
• Advanced SQL programming across multiple databases.
• Experience with AWS S3 and cloud file processing.
• Knowledge of Oracle databases.
• Experience with Git version control.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and stakeholder management skills.

Good-to-Have Skills:

• Experience with AWS cloud services.
• Knowledge of Data Governance frameworks.
• Experience with ETL/Data Integration tools.
• Exposure to Power BI or Tableau.
• Experience with metadata management and data catalog solutions.
• Knowledge of Shell Scripting.
• Experience working in Healthcare, Insurance, or Banking domains.