Data Warehouse Developer – Data Quality – WNS

Job Description:

We’re looking for an experienced and motivated GDW Sr. Developer to play a crucial role in managing our organization’s data quality. The GDW Sr. Developer will be tasked with establishing and upholding data quality standards, policies, and best practices. Their primary responsibility will be ensuring that our data assets meet accuracy, consistency, and compliance requirements according to industry regulations and organizational needs.

Responsibilities:

• Conduct regular assessments, profiling, and audits to detect data anomalies, inconsistencies, and errors. Work with the team to devise plans for resolving these issues.
• Implement and enforce data governance policies, standards, and controls to maintain data quality and regulatory compliance.
• Expertise in data loads and determining rules necessary to identify and address data quality issues during loads.
• Select, implement, and manage data quality tools and solutions to automate data validation, cleansing, and monitoring processes.
• Lead efforts to standardize data formats, units, and naming conventions, ensuring data consistency and accuracy across the organization.
• Develop and maintain comprehensive documentation of data quality processes, standards, and procedures for internal use.
• Define and monitor key data quality metrics, reporting regularly to management and stakeholders for transparency and accountability.
• Create and execute data remediation plans to tackle data quality issues, collaborating closely with data owners and stakeholders.
• Stay informed about industry best practices and emerging trends in data quality management, seeking areas for improvement and innovation.
• Collaborate with cross-functional teams, including data engineering, data science, business stakeholders, and IT, to understand data requirements and provide guidance on data quality enhancements.

Required Skills:

• Demonstrated experience in data quality management.
• Strong proficiency in SQL and Python.
• Essential experience in the travel industry.
• Proficient in using data quality tools like Informatica Data Quality, Talend Data Quality, or open-source alternatives for automating data profiling, cleansing, and monitoring.
• Expertise in data profiling techniques and tools to analyze data and identify anomalies, inconsistencies, and quality issues.
• Proficiency in data cleansing techniques, including de-duplication and standardization.
• Strong understanding of data governance practices and principles.
• Excellent leadership and team management capabilities.
• Strong analytical and problem-solving skills.
• Exceptional communication and collaboration abilities.
• Qualifications: Graduates with a degree in computer science or equivalent.

Preferences:

• Certified Data Quality Professional (CDQP).