Full Stack Developer with Machine Learning

Description

6 months contract with possibility to extend.

Job Title: Full Stack Developer

Job Summary

We are seeking a highly skilled and motivated Full Stack Developer to join our team. As a Full Stack Developer, you will be responsible for creating the pipelines and endpoints that expose data to the enterprise. This position requires a strong background in Python, SQL, Unix, Docker, and RESTful services.

Key Responsibilities

• Design and implement data pipelines using Python, SQL, and Unix to ensure data quality and integrity.
• Work with Docker to containerize data pipelines and ensure scalability and portability.
• Develop and maintain RESTful services to provide secure and efficient data access to stakeholders.
• Collaborate with cross-functional teams to gather requirements and integrate data analytics into business operations.
• Ensure data privacy and security by implementing appropriate controls and protocols.

Requirements

• Bachelor's degree in Computer Science, Data Analytics, or a related field.
• At least 3 years of experience in endpoint development or data engineering.
• Strong background in Python, Flask, gUnicorn, SQL, and Unix.
• Experience with Redis, Docker, and RESTful services is highly desirable.
• Experience with UI/UX, Javascript, Node.js or equivalent.
• At least 3 years of experience in AWS, Azure, or equivalent cloud computing platform.
• Strong understanding of data privacy and security principles.
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced environment and adapt to changing priorities.
• Strong problem-solving skills and ability to think critically.

Preferred Qualifications

• Master's degree in Computer Science, Data Analytics, or a related field plus 5 years of experience.
• Bachelors' degree in Computer Science, Data Analytics, or a related field plus 8 years of experience.
• Experience with machine learning and predictive modeling.
• Certified in AWS.
• Experience with data visualization tools such as Tableau or Power BI.
• Certification in data analytics or a related field is a plus.