Manager
Tasks
- Architect data lakehouse solutions
- Build ELT pipelines
- Build scalable ETL pipelines
- Develop transformation models with dbt
- Ensure code quality and best practices
- Handle data quality exceptions
- Implement Snowflake stored procedures and tasks
- Implement data ingestion infrastructure
- Implement data quality validation checks
- Maintain design documentation
- Monitor data quality metrics
- Orchestrate and schedule data jobs
- Support stakeholders with data issues
- Use AI coding assistants to accelerate development
- Write unit tests
Perks/Benefits
- N/A
Skills/Tech-stack
Airbyte | Airflow | Amazon S3 | Anthropic | Azure Data | Azure Data Lake | Azure Data Lake Storage | CI/CD | DBT | DLT Hub | Data Lake Storage | Data Lakehouse | Data Modeling | Data Vault | Dimensional Modeling | ELT | ETL | Fivetran | Gemini | Git | Medallion Architecture | OpenAI | Prefect | PySpark | Python | SQL | Serverless computing | Snowflake | Snowflake Schema | Snowpark | Star Schema | Unit Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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