Software Engineer - Java Full Stack Developer.

Key Skills:

Roles and Responsibilities:

• Design and develop applications that meet the needs of manufacturing operations.
• Collaborate with Lead Data Scientists and business customers to translate their needs into predictive and prescriptive analytics solutions.
• Work closely with the GFIT and Manufacturing Data Domain group to support the Lead Data Scientist in building data pipelines for scalable analytics solutions.
• Implement new functionalities and troubleshoot application issues in collaboration with users, developers, and database administrators.
• Support day-to-day operations and provide troubleshooting assistance.
• Lead projects end-to-end with minimal support and guide junior resources to ensure timely task delivery.
• Enhance overall system performance through collaboration with cross-functional teams.
• Utilize development environments such as IntelliJ IDEA and demonstrate proficiency in relational databases.

Skills Required:

• Strong proficiency in Java, Spring Boot, and Angular frameworks.
• Hands-on experience in front-end development (HTML, CSS, JavaScript, TypeScript).
• Solid understanding of RESTful APIs, microservices architecture, and containerization (Docker, AWS ECS).
• Experience with relational databases such as MySQL, PostgreSQL, or Oracle.
• Knowledge of CI/CD pipelines, version control (Git), and agile methodologies.
• Familiarity with cloud platforms such as AWS or Azure.
• Strong problem-solving skills and ability to collaborate with cross-functional teams.
• Excellent debugging and performance optimization capabilities.

Education:

Job Title: Software Engineer - Java Full Stack Developer

Key Skills:

Roles and Responsibilities:

• Design and develop applications that meet the needs of manufacturing operations.
• Collaborate with Lead Data Scientists and business customers to translate their needs into predictive and prescriptive analytics solutions.
• Work closely with the GFIT and Manufacturing Data Domain group to support the Lead Data Scientist in building data pipelines for scalable analytics solutions.
• Implement new functionalities and troubleshoot application issues in collaboration with users, developers, and database administrators.
• Support day-to-day operations and provide troubleshooting assistance.
• Lead projects end-to-end with minimal support and guide junior resources to ensure timely task delivery.
• Enhance overall system performance through collaboration with cross-functional teams.
• Utilize development environments such as IntelliJ IDEA and demonstrate proficiency in relational databases.

Skills Required:

• Strong proficiency in Java, Spring Boot, and Angular frameworks.
• Hands-on experience in front-end development (HTML, CSS, JavaScript, TypeScript).
• Solid understanding of RESTful APIs, microservices architecture, and containerization (Docker, AWS ECS).
• Experience with relational databases such as MySQL, PostgreSQL, or Oracle.
• Knowledge of CI/CD pipelines, version control (Git), and agile methodologies.
• Familiarity with cloud platforms such as AWS or Azure.
• Strong problem-solving skills and ability to collaborate with cross-functional teams.
• Excellent debugging and performance optimization capabilities.

Education: