Doctoral Fellow – Data Engineering, Pipelines, PySpark
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Job Description
Data Engineer role focusing on engineering projects with Cielo in partnership with Inova Talentos. Involves data architecture, integration, and automating data 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 integration and processing of operational data using Python
- Model and automate refined tables incorporating business rules
- Implement monitoring and proactive alerts
- Publish and validate the tables in the production environment
- Document the entire technical and functional platform architecture
- Provide training and formalize the technical handover
Requirements:
- Degree: PhD
- Education: Degree in Computer Engineering, Computer Science, Statistics, or related fields
- English: Intermediate
- Strong knowledge of data engineering using Python
- Basic knowledge of cloud computing platforms, especially for data integration and Data Lake storage
- Experience with code versioning using Git
- Ability to design scalable, automated architectures for data ingestion and transformation
- Ability to automate observability mechanisms and alerts
- Ability to create technical and operational documentation
- Experience with PySpark
Benefits:
- Remote work
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