Collibra DQ Lead

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 fitforpurpose 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:

• Bachelors 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.
• Indepth knowledge of data quality concepts methodologies and best practices.
• Handson 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 problemsolving skills and attention to detail.
• Selfstarter with strong communication and collaboration skills to work effectively with crossfunctional teams.
• Ability to manage multiple priorities and meet deadlines in a fastpaced environment.