Data & AI Engineering Specialist
Tasks
- Apply compliance as code
- Build data preparation workflows
- Collaborate with cross-functional teams
- Conduct code reviews and technical design
- Design data pipelines
- Drive data quality remediation
- Implement access governance
- Implement data framework
- Implement data governance
- Maintain documentation as code
- Manage metadata and lineage
- Monitor data observability and alerts
- Support data stewardship workflows
Perks/Benefits
Skills/Tech-stack
API | AWS Kinesis | Access Control | Amazon Web Services | Apache Airflow | Apache Kafka | Apache Spark | Cloud platform | Collibra | DBT | Data Cataloging | Data Lineage | Data Modeling | Data Observability | Data Security | Event Driven | Event-driven architecture | GDPR | Generative AI | Google Cloud | Google Cloud Platform | HIPAA | Informatica | Informatica CDGC | Language Models | Language Processing | Large Language Models | Metadata Management | Microsoft Azure | Natural Language | Natural Language Processing | Python | SQL | Schema as code | Snowflake | Web Services | “as-code”
Education
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