Description

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

Responsibilities

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

Required Skills

• 3+ years of experience in endpoint development or data engineering.
• 3+ years of experience with AWS, Azure, or equivalent cloud platforms.
• Proficiency in Python, Flask, gunicorn, SQL, and Unix.
• Experience with Docker, Redis, and RESTful services.
• Knowledge of UI/UX, JavaScript, and Node.js or equivalent.
• 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 with 5+ years of experience, or Bachelor's degree with 8+ years of experience.
• Experience with machine learning, predictive modeling, Tableau, or Power BI.
• AWS certification or data analytics certification.

Key Skills

Education

Any Graduate