Data & AI Engineering Specialist
Tasks
- Apply data quality engineering in production
- Collaborate on data solutions with AI and data marketplace platforms
- Conduct code reviews and technical design discussions
- Design and build end-to-end data pipelines
- Develop automated data preparation workflows
- Implement AI ready data framework
- Implement compliance as code policies and access governance
- Implement data governance processes
- Maintain documentation as code
- Manage metadata assets data lineage and catalogs
- Monitor data observability and triage alerts
- Support data stewardship workflows
- Validate AI generated metadata suggestions
Perks/Benefits
Skills/Tech-stack
API | Access Control | Amazon Web Services | Apache Airflow | Apache Spark | Cloud Data | Cloud Data Platforms | Cloud platform | Compliance as Code | DBT | Data Cataloging | Data Engineering | Data Governance | Data Lineage | Data Modeling | Data Observability | Data Pipelines | Data Protection | Data Quality | Data platforms | Data protection compliance | Data quality engineering | GDPR | Generative AI | Google Cloud | Google Cloud Platform | HIPAA | Informatica | Informatica CDGC | Language Models | Language Processing | Large Language Models | Metadata Management | Microsoft Azure | NLP | Natural Language | Natural Language Processing | Protection compliance | Python | Quality Engineering | Responsible AI | SQL | Schema as code | Snowflake | Web Services | “as-code”
Education
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