Lead Data Engineer
Santiago, Chile
R
CLP 19200K-19200K (estimate) Senior-level Full Time
Tasks
- Advise clients on distributed storage and computing technologies
- Build data processing pipelines
- Collaborate with data scientists to deploy scalable model implementations
- Define project scope and goals
- Design develop and operate data architecture
- Develop data models using appropriate modeling techniques
- Ensure on time delivery with cross team collaboration
- Implement data governance data security and data privacy
- Incorporate data quality into daily work
- Lead data engineering projects from inception to completion
- Use Test Driven Development and continuous delivery to deploy support and operate data pipelines
Perks/Benefits
Skills/Tech-stack
Big Data | Continuous Delivery | Data Architecture | Data Engineering | Data Governance | Data Lakes | Data Modeling | Data Privacy | Data Processing | Data Processing Pipelines | Data Quality | Data Security | Data Visualization | Data schema | Databricks | Distributed Computing | Distributed Storage | Distributed Systems | Language Models | Large Language Models | Machine Learning | NoSQL | Processing pipelines | SQL | Test-Driven | Test-Driven Development
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
Regions
Countries
States
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