Tips: Provide a summary of the role what success in the position looks like and how this role fits into the organization Data Quality Analyst with Collibra:
- 6 years of IT experience with a minimum of 5 of experience building ETL solutions in the Business Intelligence domain with special focus on implementing Data Quality Strategies.
- Experience in Requirements gathering Data Quality Assessment Data Quality Dimensions Data Quality Measures and Metrics Data Quality use cases Data Quality Stewardship Data Quality Monitoring Data Quality Problem Management and Data Modelling
- Experience in the Collibra for Data Governance and Data Quality
- Good knowledge on autodiscovery standardization autoprofiling smart suggestions and data visualization cleaning and enrichment functions
- Designing and Implementing Data Ingestion and Integration Frameworks Data Quality Frameworks identifying patterns create reusable code libraries Developing use cases Data Modelling
- Hands on experience in designing data pipelines for cloud migration (Aws preferred)
overall.
Responsibilities
Be specific when describing each of the responsibilities. Use genderneutral inclusive language.
Example: Determine and develop user requirements for systems in production to ensure maximum usability
Qualifications
Some qualifications you may want to include are Skills Education Experience or Certifications.
Example: Excellent verbal and written communication skills
data quality,aws,metadata management,etl,building