Level UP: Data Engineering & BI/Analytics with New Technology
Preferred learners
- Canada
- Academic experience
Categories
Skills
Project scope
- What is the main goal for this project?
-
Positions available: 6
The data engineer/developer will utilize unTribe's pre-release Cloud-Native Data Integration (CNDI) technology to perform data analysis in an area of inquiry that is of internal or public interest. In the latter case, projects may include analysis in an area such as political economy, financial markets, trade, healthcare, urban development, macroeconomics, media, or other.
The position requires skills in data retrieval and manipulation, empirical methods, and data display. Skills with data integration tooling, Python, or Spark are desirable.
The project may include, but is not limited to:
- Overseeing complex data collection, manipulation, and data storage.
- Planning and performing the outlines and looking after data retrieval (eg, data scraping) and analysis (eg, big data analysis) using CNDI and related tools and methods.
- Responsible for complex tasks in relation to data retrieval and analysis.
- Working with team members in the design and execution of analysis and testing.
- Surveying related literature.
- Writing reports to summarize findings.
- Working with the software development team on making new feature requests, logging bugs, and improving documentation.
- Working with cloud infrastructure.
For each position, three 80-hour project milestones may be realized:
- Preparation - in this phase, the focus is on the selection of an analysis topic, related research, preliminary data modelling, as well as the installation of CNDI, learning the tool, and reporting issues or suggestions for documentation improvements.
- Data Integration - The focus of this phase is the execution of data integration work. Data will be transformed using ETL, ELT, or stream processing. The data integration work is deployed to a shared environment. Feedback will be provided on CNDI features and capabilities.
- Packaging - Based on the data integration work, the student may wish to perform data visualization, or apply AI/ML models to glean further insights. Reports are then written to summarize findings.
- What is the main goal for this project?
-
Positions available: 6
The data engineer/developer will utilize unTribe's pre-release Cloud-Native Data Integration (CNDI) technology to perform data analysis in an area of inquiry that is of internal or public interest. In the latter case, projects may include analysis in an area such as political economy, financial markets, trade, healthcare, urban development, macroeconomics, media, or other.
The position requires skills in data retrieval and manipulation, empirical methods, and data display. Skills with data integration tooling, Python, or Spark are desirable.
The project may include, but is not limited to:
- Overseeing complex data collection, manipulation, and data storage.
- Planning and performing the outlines and looking after data retrieval (eg, data scraping) and analysis (eg, big data analysis) using CNDI and related tools and methods.
- Responsible for complex tasks in relation to data retrieval and analysis.
- Working with team members in the design and execution of analysis and testing.
- Surveying related literature.
- Writing reports to summarize findings.
- Working with the software development team on making new feature requests, logging bugs, and improving documentation.
- Working with cloud infrastructure.
For each position, three 80-hour project milestones may be realized:
- Preparation - in this phase, the focus is on the selection of an analysis topic, related research, preliminary data modelling, as well as the installation of CNDI, learning the tool, and reporting issues or suggestions for documentation improvements.
- Data Integration - The focus of this phase is the execution of data integration work. Data will be transformed using ETL, ELT, or stream processing. The data integration work is deployed to a shared environment. Feedback will be provided on CNDI features and capabilities.
- Packaging - Based on the data integration work, the student may wish to perform data visualization, or apply AI/ML models to glean further insights. Reports are then written to summarize findings.
- What tasks will learners need to complete to achieve the project goal?
-
No deliverables exist for this project.
About the company
- http://untribe.com/
- 11 - 50 employees
- It & computing
unTribe's mission is to simplify data solutions. We are an early stage startup aiming to address cost, complexity, and time issues that businesses have managing their data. We provide a modern data integration and orchestration platform that brings data engineers, data scientists, and BI practitioners together.
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