Job Description
Junior Database Developer - onsite Job, 1+ Year Experience
Annual Income: $62K - $78K
A valid work permit is necessary in the US
About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.
Description
You will be responsible for developing, testing, improving, and maintaining new and existing databases to help users retrieve data effectively. As part of the IT team, you will work closely with developers to ensure system consistency. You will also collaborate with administrators and clients to provide technical support and identify new requirements. Communication and organization skills are keys for this position, along with a problem-solving attitude.
Ultimately, you should be able to ensure our database systems run effectively and securely daily.
Requirements:
Proven work experience as a Database developer
In-depth understanding of data management (e.g., permissions, recovery, security, and monitoring)
Knowledge of software development and user interface web applications
Hands-on experience with SQL
Familiarity working with.NET Framework, JavaScript, HTML, and Oracle
Excellent analytical and organizational skills
An ability to understand front-end users' requirements and a problem-solving attitude
Excellent verbal and written communication skills
BSc degree in Computer Science or relevant field
Benefits Opportunities for professional development and growth.
Collaborative and inclusive work environment.
Exposure to cutting-edge technologies and industry-standard tools.
Opportunity to work on challenging and exciting projects.
Work with a talented and passionate team.
Why Patterned Learning LLC?
Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This can help reduce coding errors, improve productivity, and accelerate development.
The pattern recognition is particularly relevant in the context of coding. Neural networks, intense learning models, are commonly employed for pattern detection and classification tasks. These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation.
