- Automation: Develop and maintain Python scripting solutions to automate data collection, processing, and analysis tasks, enhancing efficiency and accuracy.
- Data Science: Collaborate with teams to construct usable data sets from various structured and unstructured sources, enabling data-driven decision-making.
- Software Development: Contribute to software development projects, utilizing your strong fundamentals in computer science to design and implement solutions for complex technical challenges.
- Problem-Solving: Approach technical issues creatively, employing debugging and troubleshooting skills to identify and resolve problems effectively.
- Communication: Work collaboratively within a team, demonstrating excellent verbal and written communication skills to convey technical concepts and solutions clearly.
- Applying data engineering techniques to gather, prepare, cleanse, and transform data for analysis, automation, and AI.
- Data Modelling: Apply basic understanding or experience with predictive/prescriptive modelling techniques to derive insights from data.
- Agile Development: Embrace Agile Development Methodologies and Design Thinking principles to drive innovation and streamline project delivery.
- Cloud Integration: Develop a basic understanding of cloud platforms such as AWS, Azure, etc., and explore opportunities to leverage cloud services for analytics and data processing
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