Sr. Data Engineers

Ingram Micro•Irvine, CA

1d•Onsite

About The Position

Accelerate your career. Join the organization that's driving the world's technology and shape the future. Ingram Micro is a leading technology company for the global information technology ecosystem. With the ability to reach nearly 90% of the global population, we play a vital role in the worldwide IT sales channel, bringing products and services from technology manufacturers and cloud providers to business-to-business technology experts. Our market reach, diverse solutions and services portfolio, and digital platform Ingram Micro Xvantage™ set us apart. Come join our team where you’ll make technology happen in surprising ways. Let’s shape tomorrow - it’ll be a fun journey!

Requirements

Bachelor's degree in Computer Science, Information Systems or related field and 5 years of experience in the job offered or in a data scientist-related occupation.
Master’s degree in Computer Science, Information Systems or related field and 3 years of experience in the job offered or in a data scientist-related occupation.

Responsibilities

Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.
Analyze and manipulate large data sets using statistical software.
Support build and optimization of our real-time data and real-time data pipeline architecture working in conjunction with cross functional teams.
Responsible for data flow design and implementation.
Create and maintain optimal real- data pipeline architecture.
Gather and process large, complex, raw data sets at scale, including writing scripts, web scraping, calling APIs, write SQL queries that meet business requirements.
Apply feature selection algorithms to model predicting outcomes.
Design, develop, and deliver world class data algorithmic artifacts, including documentation and coding; coordinate data algorithmic development with infrastructural development; work closely with our engineering and cross functional IT teams to integrate innovations and algorithms into products.
Research and apply advanced algorithms and methods involving data mining, statistical analysis, and machine learning techniques.
Process unstructured data into a form suitable for analysis.