Data Engineering
PELML Lima (PELML) La Molina, Peru
CAD 102K-168K (estimate) Mid-level Full Time
Tasks
- Architect real time RAG pipelines
- Build knowledge graphs
- Build, deploy, and maintain CI/CD pipelines
- Create semantic layers
- Identify and resolve data quality issues
- Implement automated data guardrails for noise bias and PII
- Manage production data infrastructure
- Scale vector databases
Perks/Benefits
- Be Well programs
- Career development
- Certification support
- Coaching
- Hybrid work
- Learning opportunities
- Mentoring
Skills/Tech-stack
API | AWS Glue | Amazon S3 | Azure Synapse | Azure Synapse Analytics | CI/CD | Cloud Dataproc | DB2 | Data Engineering | Data Guardrails | Data Mining | Data Modeling | Data Pipelines | Data Quality | Data Storage | Databricks | ETL | Extract Transform | Extract Transform Load | GitHub | Google Cloud | Google Cloud Dataproc | Graph Modeling | Knowledge graphs | Milvus | MongoDB | NoSQL | PII | Pinecone | PostgreSQL | RAG | Relational databases | Retrieval-Augmented Generation | Semantic layers | Synapse Analytics | Vector Databases | Vector embeddings | Visual Studio | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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