Description

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

This role is on-site.

Responsibilities

• Design and implement data pipelines using Python, SQL, and Unix.
• Containerize pipelines with Docker for scalability and portability.
• 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 operations.

Required Skills

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

Preferred Skills

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

Key Skills

Education

Any Graduate