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Sr. Data Engineer

Date: Jul 4, 2021

Location: LAKE FOREST, IL, US, 60045-5201 CHICAGO, IL, US, 60603-4013

Company: Grainger Businesses

Company Overview:

 

Grainger is a global leading broad line supplier of facilities maintenance products serving businesses and institutions. Our 18,000 employees are driven to serve customers and the community in exceptional ways focusing on delivering the highest level of service. The Grainger team works closely with customers to better understand their challenges and provide cost-saving solutions. Grainger's employees serve customers more than 115,000 times every day through multiple channels. As part of a high-performing team, you’ll be able to develop your talents, and make a difference. Grainger is a Fortune 500 company and a perennial member of Fortune magazine's Most Admired Companies list.

 

 

Position Description:

 

Grainger is seeking a Sr. Data Engineer for our PMO team. The Sr. Data Engineer will be responsible for designing and developing high-performance, resilient, data pipelines and product. This role works closely with SMEs, architects, analysts, data scientists and others to build solutions that integrate data from many of our enterprise data sources.

 

 

Duties and Responsibilities:

 

Assembling large, complex sets of data that meet non-functional and functional business requirements

Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes

Building required tools for optimal extraction, transformation and loading of data from various data sources

Building product features to enable self-service analytics

Partnering with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues

 

 

 

Position Requirements:

 

Hands-on experience with Modern Data Engineering projects and practices

Experience leading data integration efforts of internal and external data sources

Experience partnering with internal departments (Supply Chain, Marketing, Finance, HR) to define business requirements.

Ability to lead junior team members as needed through design and development

Ability to take high solution through development and implementation

Ability to translate business requirements into technical requirements and produce required source-to-target data mappings.

Ability to bring complex concepts into the organization and mentor others.

Attention to detail, excellent problem-solving ability, and strong communication skills (written and verbal).

Experience with advanced analytics and machine learning

Excellent analytical, troubleshooting, decision-making and presentation skills

Familiarity with BI tools such as Tableau, PowerBI and Domo

Technology Experience Required: AWS, SQL, Python, Docker/Kubernetes, CI/CD, Git, Snowflake(bonus), dbt (bonus), Airflow (bonus)

Preferred: 3+ years of hands-on AWS and python experience in a data engineering role

 

 

 

Grainger is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status.