Sr Data Quality Engineer
Tasks
- Build data quality pipelines in Snowflake and AWS
- Configure Reltio master data management golden records
- Create data governance standards taxonomies and ontologies
- Define data quality KPIs and SLAs
- Deploy Ataccama DQ and MDM capabilities
- Design data quality frameworks
- Develop SQL data quality rules and reconciliation queries
- Document data quality policies and best practices
- Implement data quality profiling cleansing validation monitoring
- Integrate AWS Bedrock and agentic AI for automated quality monitoring and remediation
- Lead data quality triage root cause analysis and remediation
- Support CI CD for data quality rule deployment and regression testing
- Train and enable data consumers and producers
Perks/Benefits
- 401k match
- Adoption Assistance
- Dental insurance
- Education assistance
- Health insurance
- Holiday leave
- Home purchase discounts
- Paid parental leave
- Paid vacation
- Personal day
- Sick leave
- Vision insurance
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | Agentic AI | Agile | Amazon Bedrock | Ataccama | CI/CD | Data Catalog | Data Cleansing | Data Governance | Data Lineage | Data Management | Data Validation | Data profiling | Generative AI | Git | Machine Learning | Master Data | Master Data Management | Metadata Management | Python | Reltio | S3 | SQL | Snowflake | Step Functions
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Science | Master of Science
Roles
Data Quality | Data Quality Engineer | Engineer | Quality Engineer
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