Data Engineer

The ideal candidate will have a strong interest in Data Engineering, machine learning, data science, Python and AI technologies, and a passion for solving real-world problems using these skills.

Key Responsibilities:

• Perform exploratory data analysis, feature engineering, and data preprocessing to improve model performance.
• Support in evaluating and selecting appropriate AI/ML algorithms and techniques based on project requirements.
• Proficiency in programming languages such as Python, Django, JavaScript with experience in data manipulation libraries and frameworks.
• Assist in the development, training, and deployment of machine learning models for various business applications.
• Implement robust data validation and quality control processes to ensure accuracy and reliability of collected data.
• Optimize data storage and retrieval mechanisms for efficient access and scalability, utilizing both relational and NoSQL databases as appropriate.
• Strong understanding of database systems, including SQL and NoSQL databases, with experience in designing schemas and optimizing query performance.
• Stay up-to-date with the latest advancements in AI/ML technologies, best practices in data engineering, frameworks, and best practices.