Engineer I- IT Systems
Tasks
- Apply dbt tests and documentation
- Assess upstream data changes impact on model performance
- Build ETL and ELT pipelines
- Build training and inference workflows on Databricks
- Configure IAM roles and permissions
- Execute code reviews
- Monitor data and ML workloads on Databricks
- Monitor model inputs and outputs
- Onboard data product owners to Data Universe platform
- Perform data validation and cleansing
- Prepare and validate feature datasets
- Resolve data pipeline failures
- Review dbt models and SQL standards
- Set up and monitor data catalog workflows
- Support embedding generation
- Support lakehouse architecture on Amazon S3
- Support retrieval-augmented generation
- Support semantic search
- Troubleshoot cloud AI and data workflows
- Write and optimize SQL transformations
Perks/Benefits
- N/A
Skills/Tech-stack
Access Management | Amazon S3 | Amazon Web Services | DBT Core | Data Governance | Data Lakehouse | Data Warehousing | Databricks | ELT | ETL | Feature Engineering | Git | IAM | Identity and Access Management | Identity and access | Machine Learning | Python | RAG | SQL | Unity Catalog | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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