Data Quality Analyst
Tasks
- Build data validation processes with SQL and PySpark
- Conduct data profiling and quality assessments
- Create executive reporting on data quality trends
- Define data quality rules and controls
- Define data standards and business rules with stakeholders
- Design automated data quality checks in Databricks
- Develop data quality scorecards and dashboards
- Document data definitions and lineage
- Embed data quality controls in ingestion and transformation
- Establish data quality SLAs and KPIs
- Investigate data anomalies and root causes
- Monitor data pipelines for quality issues
- Monitor data quality metrics
- Perform root cause analysis and corrective actions
- Support Master Data Management initiatives
- Support audits and financial reporting validation
- Translate business requirements into data quality controls
- Use Databricks monitoring to identify data issues
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Azure Data | Azure Data Factory | CI/CD | Cause analysis | Data Factory | Data Governance | Data Lineage | Data Management | Data Observability | Data Quality | Data Validation | Data profiling | Data quality frameworks | Databricks | Databricks SQL | Delta Lake | Delta Live Tables | Delta Live) | ELT | ETL | Git | Master Data | Master Data Management | Power BI | PySpark | Python | Quality frameworks | Root Cause Analysis | Root cause | SQL | Unity Catalog
Education
N/A
Roles
Analyst | Data Quality | Data Quality Analyst | Quality Analyst
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