Job Title: Collibra DQ Lead (Remote)
Job Description:
Our client is seeking a skilled Collibra DQ Lead with expertise in Collibra Data Quality Center to support and lead data quality initiatives. The ideal candidate will have extensive experience as a Data Quality Engineer or Data Quality Analyst, with a strong background in configuring, implementing, and maintaining data quality workflows and processes. This role will involve collaboration across business, IT, and data governance teams to ensure high data quality standards and continuous improvement efforts.
Responsibilities:
- Configure, implement, and maintain Collibra Data Quality Center to support enterprise-wide data quality initiatives.
- Conduct data profiling and analysis to identify data quality issues, anomalies, and opportunities for improvement.
- Collaborate with business, IT, and data governance teams to understand and align with data quality requirements and standards.
- Monitor and report on data quality trends and issues, offering actionable insights for continuous improvement.
- Develop and execute data quality jobs, including regular expressions (regex), to ensure data is fit for operational and business use.
- Design and implement data quality workflows, scorecards, and dashboards in Collibra.
- Provide technical expertise and support to business users and IT teams on Collibra Data Quality functionalities.
- Collaborate with data engineers and architects to implement data quality solutions within data pipelines and data warehouses.
- Participate in data quality improvement projects, identifying root causes of data issues 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 similar tools like Informatica, InfoAnalyzer, or Ataccama.
- In-depth knowledge of data quality concepts, methodologies, and best practices.
- Hands-on experience in implementing and configuring Collibra Data Quality, including developing data quality rules, scorecards, and workflows.
- Proficiency in data profiling tools and data quality assessment techniques.
- Experience in configuring and connecting to various data sources, such as Google Cloud Platform, SQL Server, SAP, etc.
- Familiarity with data governance principles and data stewardship processes.
- Strong SQL/Spark SQL skills for data analysis and manipulation.
- Excellent problem-solving skills and attention to detail.
- A self-starter with strong communication and collaboration skills to work effectively with cross-functional teams.
- Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
Nice to Have:
- Experience with Collibra Data Governance implementation.
- Background in working with large datasets and enterprise-level data environments.
- Familiarity with cloud-based data platforms and big data technologies.
Benefits/Perks:
- Competitive compensation package.
- Opportunities for professional growth and development in data quality and governance fields.
- Flexible remote working environment.