Description

You will design and implement the pipelines and endpoints that expose data to the enterprise.

Responsibilities

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

Required Skills

• 5+ years of experience in endpoint development or data engineering.
• 5+ years of experience with AWS, Azure, or equivalent cloud computing platforms.
• Strong proficiency in Python, Flask, gunicorn, SQL, and Unix.
• Experience with RESTful services and Docker.
• Knowledge of Redis, UI/UX, Javascript, and Node.js or equivalent.
• Solid understanding of architectural patterns.
• Strong understanding of data privacy and security principles.
• Bachelor's degree in Computer Science, Data Analytics, or a related field.

Preferred Skills

• Master's degree in Computer Science or Data Analytics with 8 years of experience, or Bachelor's with 10 years.
• Experience with machine learning and predictive modeling.
• AWS certification or certification in Architecture.

Key Skills

Education

ANY GRADUATE