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- Work closely with the data team and cross-functional departments to grasp business needs and translate them into data solutions.
- Develop, maintain, and optimize machine learning models and algorithms to support agricultural decisions and operations.
- Conduct thorough data cleaning, preprocessing, and feature engineering to ensure data quality and readiness for analysis.
- Design and implement efficient data pipelines and ETL (Extract, Transform, Load) processes to streamline data flow and accessibility.
- Create impactful visualizations and reports, providing actionable insights to stakeholders and contributing to informed decision-making.
- Engage in the setup and maintenance of hardware and networking infrastructure to support data engineering tasks.
- Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a relevant technical field.
- Solid grasp of machine learning concepts and experience in developing predictive models.
- Proficiency in programming languages such as Python, with strong skills in data manipulation libraries like Pandas and NumPy.
- Experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch) and a good understanding of their application in solving real-world problems.
- Knowledge of SQL and experience with database systems for efficient data retrieval and manipulation.
- Strong problem-solving skills, attention to detail, and the ability to work collaboratively in a dynamic, interdisciplinary environment.
Data Engineer - Singapore - GREENPHYTO PTE. LTD.
GREENPHYTO PTE. LTD.
Singapore
3 weeks ago
Description
Roles & ResponsibilitiesRequirements
TensorFlow
Machine Learning
Pandas
Big Data
Pipelines
Hadoop
Mathematics
Data Management
ETL
Data Integration
Data Quality
Data Governance
Data Engineering
PyTorch
SQL
Python
Data Architecture
Statistics
Accessibility
Data Visualization