Sr. Data Engineer

It's fun to work in a company where people truly BELIEVE in what they're doing!

Ingram Micro is the business behind the world’s brands reaching nearly 90 percent of the world’s population. Our market reach, diverse solutions portfolio, and digital platform Ingram Micro Xvantage™ set us apart. We have approximately 27,000 associates committed to serving our more than 161,000 customers and 1,500 vendor partners worldwide. Learn more at www.ingrammicro.com.

Ingram Micro has earned Great Place to Work Certification™ for 2022-2023 in the United States! This prestigious recognition reflects our commitment to our people and our culture.

Come join our team where you’ll make technology happen in surprising ways. Let’s shape tomorrow - it’ll be a fun journey!

This position is based in our Irvine, California Corporate Headquarters with the opportunity for a hybrid schedule.

Sr. Data Engineer

The Sr. Data Engineer will support build and optimization of our real-time data and real-time data pipeline architecture working in conjunction with cross functional teams. The Senior, Data Engineer will also assist with design and develop technical solutions to deliver product requirements. The ideal candidate is an experienced real-time data pipeline builder and data wrangler who enjoys building and optimizing data systems for sub-seconds latency requirements. The Senior, Data Engineer will support a team of Engineers, Software Developers, Architects and Product Managers on data initiatives and will ensure optimal data delivery architecture is consistent. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing Ingram Micro’s data architecture to support our next generation of products and data initiatives.

This role may also be responsible, jointly with others on the team, for ensuring proper documentation is made for each system change requested and that adequate change control, rigorous testing and training is done prior to moving changes into production. This position will assist with contributions to improving the ability of business teams to adopt, support and promote Ingram Micro capabilities. In addition, this position will contribute to continuous improvement initiatives in data-based business solutions and business self-service.

Responsibilities:

Data flow design and implementation

• Create and maintain optimal real-time data pipeline architecture.
• Gather and process large, complex, raw data sets at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.) that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, performance optimization of SQL queries, analyze query plans for bottlenecks, data indexing partitioning etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies.
• Work with stakeholders including the Business, Product, Engineering and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and engineering team members that assist them in building and optimizing our product.
• Data Management On-call support will be required for implementation and support activities.

Data solutions development

• Employing your skills in designing, developing, and delivering 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 your amazing innovations and algorithms into our 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 – and then do the analysis.
• Support business decisions with ad hoc analysis as needed.
• Master third-party systems and interfaces, including data available by the parties, API to be used for obtaining the data, limitations related to these interfaces.
• Excellent subject matter expertise in designing algorithms and business logics to automate commerce process flows.
• Efficiently implement clean, maintainable, and testable data solutions with high availability, blazing speed in performance and fault tolerant.
• Actively participate in code reviews, support the overall code base, and support the es