Dun & Bradstreet - Data Quality Specialist - Python/SQL

Description :

As a Data Quality Specialist, you will play a key role in executing data quality strategies, automating data quality processes, and collaborating closely with cross-functional teams to ensure the accuracy, consistency, and reliability of our data assets.

Your technical expertise will be essential in managing and enhancing the pipelines that support our data quality monitoring framework.

Key Responsibilities :

- Execute a comprehensive data quality monitoring strategy that aligns with the organization's Data Quality Standards and business objectives.

- Develop a deep understanding of Dun & Bradstreets inventory data and its end-to-end lifecycle.

- Perform baseline data quality assessments to proactively identify and address potential issues.

- Apply advanced data analysis and profiling techniques to uncover anomalies, trends, and root causes.

- Collaborate with business stakeholders to ensure requirements are accurately captured, clarified, and documented.

- Automate data quality monitoring processes and internal workflows to improve efficiency and consistency.

- Create or update data models to ensure data is structured, organized, and optimized for accurate reporting and analysis.

- Use Power BI and/or Looker to design, build, connect, and manage dashboards that provide actionable insights from data quality metrics.

- Implement a robust data validation framework supported by automated testing and continuous monitoring.

- Communicate effectively with globally distributed stakeholders using tools such as JIRA and Confluence.

- Capture business requirements thoroughly and ensure a clear understanding of all use cases.

- Recommend enhancements to internal processes within the data quality team to drive continuous improvement.

- Generate regular reports highlighting key data quality metrics, trends, and areas requiring attention.

- Review data to identify patterns or inconsistencies that may indicate processing errors.

- Develop comprehensive documentation of data quality processes, procedures, and findings, while ensuring junior team members maintain proper documentation.

- Ensure compliance with all data governance policies and procedures.

- Stay current with industry best practices and emerging technologies related to data quality.

- Provide mentorship and guidance to junior data quality engineers, supporting their professional development and technical growth.

Key Requirements :

- Bachelors degree in Business Analytics, Computer Science, Information Technology, or a related field.

- 8+ years of experience with strong, demonstrated expertise in data analysis, querying languages, data modeling, and the software development life cycle.

- Advanced proficiency in SQL, preferably with BigQuery.

- Skilled in Python for data processing, automation, and analytical workflows.

- Strong agile mindset with deep knowledge of Scrum, Kanban, and agile project management practices.

- Hands-on experience in database design, data modeling, and implementing best-practice data architecture.

- Experience working with cloud technologies, preferably Google Cloud Platform (GCP).

- Exposure to Firebase Studio or similar application development platforms.

- Experience using modern AI assisted development tools such as Copilot Studio, Gemini Code Assist, or Claude Code.

- Familiarity with workflow orchestration tools such as Airflow, GCP Composer, and infrastructure-as-code using Terraform.

- Proficiency with the Microsoft Office Suite, including Excel, Word, Outlook, and Teams.

- Ability to mentor and provide guidance to junior team members.

- Strong commitment to meeting deadlines and adhering to release schedules.

- Strong analytical, process improvement, and problem's olving skills.

- Excellent communication skills with the ability to clearly articulate data issues and recommended solutions.

- Proven experience collaborating with global teams across multiple time zones