Postdoctoral Fellow, Data Engineering, Pipelines, PySpark
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Job Description
Data Engineer responsible for developing scalable data architectures and pipelines for CIELO. Focusing on data requirement validation, automation, and technical documentation processes.
Responsibilities:
- Plan and align the project with the Androidization strategy
- Gather and validate functional and technical requirements
- Design the solution architecture and the data model
- Automate ingestion and processing of operational data
- Model and automate refined tables
- Implement monitoring and proactive alerts
- Publish and validate tables in the production environment
- Document the entire technical and functional structure of the platform
- Conduct training sessions and formalize the technical handover
Requirements:
- Degree: PhD
- Education: Computer Engineering, Computer Science, Statistics, or related fields
- English: Intermediate
- Strong knowledge of data engineering using Python
- Basic knowledge of cloud computing platforms
- Experience with code versioning using Git
- Ability to design scalable architectures
- Ability to automate observability mechanisms and alerts
- Ability to produce technical and operational documentation
- Ability to conduct trainings and technical handovers
Benefits:
- Stipend: BRL 9,000.00
- Availability: 40 hours per week
- Remote (Home Office)
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