Develops and implements scalable data pipelines, transforms complex datasets into actionable insights, and creates data-driven solutions to support strategic decision-making and business growth.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
- Design, build, and maintain robust data pipelines for collecting, processing, and integrating data from various sources.
- Ensure that data is accurately and efficiently transferred and transformed between systems.
- Create dashboards, reports, and visualizations to support decision-making.
- Collaborate with cross-functional teams to understand their data needs and provide actionable, data-driven recommendations.
- Use statistical, machine learning, or deep learning techniques to analyze and model data, identify trends, patterns, and relationships, and provide applicable solutions.
- Develop predictive models using machine learning algorithms to forecast trends and future outcomes. Then, deploy these models and systems, and monitor and maintain them to ensure they are working effectively.
- Document data workflows, processes, and technical specifications.
- Stay updated with industry trends and best practices to continuously improve data engineering practices.
