Risk Data AI/ML Engineer
Tasks
- Collaborate with stakeholders and cross-functional teams
- Design and build data pipelines
- Develop data models and architectures
- Drive operational excellence and documentation
- Establish and enforce data standards and best practices
- Implement data quality and observability frameworks
- Lead technical discussions and code reviews
- Maintain scalable and secure data systems
- Manage workflow automation using Airflow
- Mentor and develop engineering team members
Perks/Benefits
Skills/Tech-stack
Airflow | DBT | Data Governance | Data Modeling | Data Observability | Data Pipeline Development | Data Quality | Data pipeline | Dimensional Modeling | ETL | Pipeline Development | Python | Relational modeling | SCD strategies | SQL | Snowflake
Education
Roles
Data Engineer | Data Engineering Lead | Engineer | Engineering Lead | Lead
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