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- Design, build, visualize, and maintain scalable data pipelines and ETL processes.
- Collaborate with the team's engineers to integrate new data sources.
- Work with data scientists to provide clean, reliable datasets for reporting and analysis.
- Develop and maintain dashboards and visualizations as needed.
- Ensure data quality, consistency, and accessibility
- Implement data governance best practices.
- Support the team's on-call duties.
- Improve the team's data-driven decision-making capabilities.
- Streamlined data processes and reduced manual intervention.
- Enhanced data accessibility and usability for the Partner Group team
- SQL
- Python
- Ability to process and visualise data
- CW will have a project to work on with a clear timeline and interact with data and software POCs to achieve, clear scope and guidance on what is needed and timelines
- Communicate clearly
- Communicate timelines, raise flags for any concerns
- Highly technical delivery’s
- Most cases are to develop data pipeline processes and data sets to drive decision making for the product team
- Backfilling data, building dash boards
- Present data.
- Working on x1 project at a time and smaller additional tasks if needed – micro deliveries or tasks.
- Measure success – Tasks or projects will be well defined with deliverables and need to work towards them, High quality solutions and will be defined.
- At least 4 years of experience in data processing (ETL), data analysis (writing SQL queries), and data visualization, along with a basic understanding of Python programming.
