Work with the data science team to understand data requirements and provide support for data analysis.
- Develop and maintain cloud infrastructure for data storage and analysis.
- Set up data transfer mechanisms from test benches to the cloud.
- Create and maintain data models that make sense for the type of data being collected.
- Develop APIs for data transfer and analysis.
- Ensure data is organized and accessible for analysis and visualization.
- Collaborate with the technical team to understand data formats and requirements.
Assist in the development of dashboards and front-end tools for data visualization.
Build data analysis platform technologies as in AWS and docker.
Experience with AWS and cloud infrastructure development.
Experience with Python and docker.
- Strong understanding of data ingestion and data modeling.
- Familiarity with data transfer mechanisms and APIs.
- Ability to work with various file formats and data structures.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
Experience with developing dashboards and front-end tools for data visualization is a plus.
Key Responsibilities: Work with the data science team to understand data requirements and provide support for data analysis. Develop and maintain cloud infrastructure for data storage and analysis. Set up data transfer mechanisms from test benches to the cloud. Create and maintain data models ...
Work with the data science team to understand data requirements and provide support for data analysis.
- Develop and maintain cloud infrastructure for data storage and analysis.
- Set up data transfer mechanisms from test benches to the cloud.
- Create and maintain data models that make sense for the type of data being collected.
- Develop APIs for data transfer and analysis.
- Ensure data is organized and accessible for analysis and visualization.
- Collaborate with the technical team to understand data formats and requirements.
Assist in the development of dashboards and front-end tools for data visualization.
Build data analysis platform technologies as in AWS and docker.
Experience with AWS and cloud infrastructure development.
Experience with Python and docker.
- Strong understanding of data ingestion and data modeling.
- Familiarity with data transfer mechanisms and APIs.
- Ability to work with various file formats and data structures.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
Experience with developing dashboards and front-end tools for data visualization is a plus.
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