As a Full Stack Developer, you will:
* 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.
* 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
Ideal candidate must have:
* 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.
* 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.
* Bachelor's 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.
Any Graduate