Description

You will design and maintain data architectures to support large-scale analysis and machine learning workflows.

Responsibilities

• Build infrastructure for extraction, transformation, and loading (ETL) of data from diverse sources using SQL and AWS big data technologies.
• Assemble large, complex datasets and build analytics tools to provide insights into customer acquisition and operational efficiency.
• Create and maintain optimal data pipeline architecture to support business requirements.
• Identify and implement process improvements, including automating manual tasks and optimizing data delivery for scalability.
• Collaborate with Executive, Product, and Design teams to resolve technical issues and support data infrastructure needs.

Required Skills

• 5+ years of experience in data engineering or relevant analysis work.
• Master’s degree in Computer Science, Statistics, or a related field.
• Proficiency in Python, R, SAS, and SQL.
• Expertise in managing, manipulating, and analyzing very large datasets.
• Practical experience with Machine Learning, Data Science, Statistics, or Neural Networks.
• Experience with scientific programming and scripting languages.
• Ability to communicate rigorous mathematical concepts to non-expert stakeholders.

Key Skills

Education

Bachelor's degree in Computer Science