Collibra DQ/Steward Sr. Developer/Architect

Cognizant; Hyderabad, Chennai District, Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Cognizant is seeking a Senior Data Quality Developer to design, implement and optimize data quality frameworks using Collibra DQ across enterprise data platforms. You will drive profiling, validation, remediation, and monitoring to ensure data accuracy and reliability.

The role requires strong SQL/HQL, Java or Python, REST APIs, and CI/CD experience with Jenkins and Azure DevOps. You will collaborate with data governance, engineering and business teams to deliver scalable data quality solutions.

Qualifications

• Hands-on experience with Collibra Data Quality (DQ) (all modules except Admin Module).
• Strong understanding of data quality principles, frameworks, and best practices.
• Experience in data profiling, validation, monitoring, and remediation.

Responsibilities

• Design, develop, and maintain data quality solutions using Collibra DQ.
• Create and manage data quality rules, monitoring processes, scorecards, and validation frameworks.
• Perform data profiling, data validation, reconciliation, and quality assessments across multiple data sources.
• Develop and optimize SQL and HQL queries to support data quality initiatives.
• Build automation scripts and utilities using Java, Python, and Bash/Shell scripting.
• Develop and consume REST APIs for integration between data quality platforms and enterprise applications.

Skills

Collibra DQ

Data Quality Principles

Data Profiling

Monitoring & Validation

Remediation

Education

Bachelor's or Master's in CS/IT/Data Engineering

Tools

PostgreSQL

Console Metastore

SQL

HQL

REST APIs

JSON

Jenkins

Azure DevOps

Git

Job description

Job Description: Senior Data Quality Developer

Position Title

Senior Data Quality Developer

Experience

6+ Years of Relevant Experience

Job Summary

We are looking for a highly skilled Senior Data Quality Developer with expertise in Collibra Data Quality (DQ) to design, develop, and implement enterprise-level data quality solutions. The ideal candidate will possess strong experience in data quality frameworks, database technologies, query optimization, API integration, automation, and DevOps practices to ensure high standards of data accuracy, consistency, and reliability across the organization.

Key Responsibilities

• Design, develop, and maintain data quality solutions using Collibra Data Quality (DQ).
• Create and manage data quality rules, monitoring processes, scorecards, and validation frameworks.
• Perform data profiling, data validation, reconciliation, and quality assessments across multiple data sources.
• Develop and optimize complex SQL and HQL queries to support data quality initiatives.
• Work with PostgreSQL databases and Console Metastore environments for data analysis and troubleshooting.
• Build automation scripts and utilities using Java, Python, and Bash/Shell scripting.
• Develop and consume REST APIs for integration between data quality platforms and enterprise applications.
• Collaborate with data governance, data engineering, and business teams to identify and remediate data quality issues.
• Support CI/CD implementations and automate deployment processes using Jenkins and Azure DevOps.
• Perform root cause analysis and recommend corrective actions for data quality concerns.
• Maintain technical documentation, deployment guides, and operational procedures.
• Participate in code reviews and ensure adherence to development and quality standards.

Required Skills

Data Quality & Governance

• Hands-on experience with Collibra Data Quality (DQ) (all modules except Admin Module)
• Strong understanding of data quality principles, frameworks, and best practices
• Experience in data profiling, validation, monitoring, and remediation

Database Technologies

• PostgreSQL
• Console Metastore

Query Languages

• SQL
• HQL (Hive Query Language)

Programming & Scripting

• Java
• Python
• Bash/Shell Scripting

APIs & Integration

• REST APIs
• JSON

DevOps & Version Control

• Jenkins
• Azure DevOps
• Git
• CI/CD Pipeline implementation and maintenance

Preferred Qualifications

• Experience working in enterprise-scale data platforms and complex data ecosystems.
• Familiarity with data governance and metadata management concepts.
• Experience with Agile/Scrum methodologies.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and stakeholder management abilities.

Educational Qualification

• Bachelor's or Master's Degree in Computer Science, Information Technology, Data Engineering, or a related field.

Key Competencies

• Data Quality Management
• Data Profiling & Validation
• Data Analysis
• API Integration
• Automation & Scripting
• Database Optimization
• Problem Solving
• DevOps Practices
• Collaboration & Stakeholder Management

Primary Skill

Collibra Data Quality (DQ)

Secondary Skills

PostgreSQL, SQL, HQL, Java, Python, Bash/Shell, REST APIs, JSON, Jenkins, Azure DevOps, Git

Seniority Level

Senior

Category

Super Niche Skill