Description

You will build and maintain the pipelines and endpoints used to expose data across the enterprise.

Responsibilities

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

Required Skills

• 5+ years of experience in software development or data engineering.
• Proficiency in Python, Flask, and Gunicorn.
• Strong command of SQL and Unix environments.
• Experience with RESTful services and Docker.
• Working knowledge of Redis.
• Experience with AWS, Azure, or equivalent cloud platforms.
• Foundational knowledge of UI/UX, JavaScript, and Node.js.
• Understanding of data privacy and security principles.

Preferred Skills

• Experience with machine learning and predictive modeling.
• AWS certification.
• Experience with Tableau, Power BI, or other data visualization tools.

Key Skills

Education

ANY GRADUATE