We are seeking a highly skilled Data Engineer to join our dynamic team. The ideal candidate will be responsible for developing and maintaining various applications and systems, ensuring their performance, reliability, scalability, and extracting meaningful insights from data. This role involves working collaboratively with cross-functional teams by applying multiple technologies and frameworks, managing databases, and creating intuitive user interfaces.
Responsibilities:
- Collaborate with cross-functional teams to understand business requirements and implement new features and enhancements.
- Create, deploy, and maintain applications, with the capability to diagnose and resolve issues, as well as enhance features based on user feedback.
- Continuously improve the performance, scalability, and security of all applications and systems by ensuring data integrity and availability through regular maintenance and updates.
- Develop BI Dashboards Tableau incorporating ETL processes to manage data flow.
- Extract meaningful Data insights using AI/machine learning (ML) techniques to drive data-driven solutions.
- Stay updated with the latest industry trends and technologies to incorporate best practices into the development process.
Qualifications:
- Master or Degree in Computer Science/Computer Engineering or other related education background
- Proven experience in a relevant field (Academic and/or Work);
- Excellent communication and collaboration skills with the ability to troubleshoot and resolve complex issues efficiently.
- Strong attention to detail while producing accurate and high-quality work.
- Self-driven with the ability to multi-task and a willingness to learn and grow in a fast-paced environment.
- Willingness to learn and genuine passion for technology.
- Experience with cloud applications deployment using CI/CD pipeline.
- Proficiency in Web application tools such as Node.js, TypeScript, MongoDB, and React.js with Git version control
- Preferred with hands-on experience with BI tools such as Tableau/power BI and statistical analysis with ML tools.
- Experience in the manufacturing industry, system management, and familiarity with Flask and LLM model integration are advantageous.
- Strong knowledge of SQL for database management and data preparation.