Description

Build and maintain data pipelines and endpoints that expose enterprise data. You will design, implement, and containerize services to ensure scalability, security, and data integrity.

Responsibilities

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

Required Skills

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

Preferred Skills

• Master's degree with 5+ years of experience, or Bachelor's with 8+ years.
• Experience with machine learning, predictive modeling, Tableau, or Power BI.
• AWS certification or data analytics certifications.

Key Skills

Education

Bachelor's