Position: Collibra DQ Lead 

Location: Bolingbrook, IL/Remote

Duration: 1 Years

Skill Rating –

Data Quality Analyst, with specific expertise in Collibra Data Quality Center

As a Data Quality Engineer specializing in Collibra Data Quality, you will play a critical role in ensuring the accuracy, completeness, and reliability of data within our organization. Your primary responsibility will be to implement and maintain Collibra Data Quality solutions, conduct data profiling and analysis, define data quality rules, and collaborate with various teams to improve data quality. You will also work closely with data stewards and data governance teams to enforce data quality best practices and promote a culture of data quality awareness.

Responsibilities:

• Configure, implement, and maintain Collibra Data Quality to support data quality initiatives.
• Conduct data profiling and analysis to identify data quality issues, data anomalies, and data improvement opportunities.
• Collaborate with business, IT, and data governance teams to understand data quality requirements and standards.
• Monitor and report on data quality trends and issues, providing actionable insights for continuous improvement.
• Develop and execute data quality jobs, including regular expressions (regex) to ensure data is fit-for-purpose based on operational and business data quality requirements.
• Design and implement data quality workflows, data quality scorecards, and data quality dashboards in Collibra.
• Provide technical expertise and support to business users and IT teams regarding Collibra Data Quality capabilities.
• Work closely with data engineers and data architects to implement data quality solutions within data pipelines and data warehouses.
• Participate in data quality improvement projects, helping to identify root causes and implementing corrective actions.

Requirements:

• Bachelor’s degree in computer science, Information Systems, or a related field.
• Proven experience as a Data Quality Engineer or Data Quality Analyst, with specific expertise in Collibra Data Quality Center ( Owl DQ) or other DQ tools such as Informatica, InfoAnalyzer, Ataccama.
• In-depth knowledge of data quality concepts, methodologies, and best practices.
• Hands-on experience in implementing and configuring Collibra Data Quality, including data quality rules, scorecards, and workflows.
• Proficiency in data profiling tools and data quality assessment techniques.
• Experience in configuration and connection to various data sources like GCP, SQL Server, SAP, etc…
• Familiarity with data governance principles and data stewardship processes.
• Strong SQL/Spark SQL skills for data analysis and data manipulation.
• Excellent problem-solving skills and attention to detail.
• Self-starter with strong communication and collaboration skills to work effectively with cross-functional teams.