Coordenador(a) de Ciência e Engenharia de Dados
Campinas, São Paulo, Brasil
BRL 20K-31K (estimate) Senior-level Full Time
Tasks
- Align stakeholders on scope cost risk and timeline
- Coordinate performance reviews and feedbacks
- Create incident runbooks and RCA processes
- Define SLAs and SLOs
- Define data architecture using Medallion
- Define data contracts taxonomies and metadata
- Design dataset pipelines for LLMs
- Establish engineering rituals and quality standards
- Implement data versioning and lineage
- Implement dataset quality controls for LLM consumption
- Manage data engineering team
- Manage delivery risks and dependencies
- Optimize data pipelines for cost and performance
- Plan roadmap and backlog
- Set data observability metrics and monitoring
- Support RAG index quality coverage and impact
Perks/Benefits
- Childcare allowance
- Dental insurance
- Free parking
- Health insurance
- Hybrid work
- Life insurance
- Meal allowance
- Medication allowance
- Onsite parking
- Paid day off on birthday
- Private pension
- Transport allowance
- Vacation bonus
- Wellbeing program
Skills/Tech-stack
AWS | Anonymization | Apache Airflow | Apache Spark | Automated testing | Azure | CI/CD | Compute Optimization | DBT | Dagster | Data Contracts | Data Governance | Data Lake | Data Lineage | Data Modeling | Data Pipelines | Data Quality | Data Retention | Data Warehouse | Data orchestration | DataOps | Dataset versioning | Docker | ELT | ETL | GCP | Git | Incremental Updates | Indexing | Kafka | LLM Data Pipelines | Lakehouse | MLOps | Medallion Architecture | Metadata Management | Monitoring | Observability | Partitioning | Python | RAG | Reranking | SQL | Storage Optimization
Education
Regions
Countries
States
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