Description

You will build and maintain the data infrastructure and pipelines necessary for large-scale processing and analytics.

Responsibilities

• Build, implement, and maintain data platforms, pipelines, and analytics infrastructure including databases and large-scale processing systems.
• Develop, prototype, and operationalize data-set processes for modeling, mining, acquisition, and verification.
• Collaborate with data scientists and business analysts through the concept, build, validation, and roll-out phases.
• Evaluate technological solutions to meet data requirements and improve data quality and quantity.
• Oversee platform maintenance and support to ensure system stability.

Required Skills

• 5+ years of experience engineering data-oriented solutions.
• Proficiency in Python, including numerical and statistical computing libraries.
• Strong expertise in SQL and underlying toolsets supporting data platforms.
• Experience with scripting languages and analytical tools like Jupyter Notebooks.
• Familiarity with data architecture tools and components.
• Ability to communicate technical concepts verbally and visually to internal and external stakeholders.
• BS or MS in Computer Science, Mathematics, or Statistics.

Key Skills

Education

BS or MS in Computer Science