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À propos
We are looking for a Senior Data Engineer for our Pricing team. The team creates the technology that supports Grainger's pricing strategy. Providing the right product at the right price is core to Grainger's growth objectives, both in terms of driving direct growth the pricing leverage, and in terms of supporting other growth drivers like marketing. The Pricing team is responsible for building and maintaining the applications and data that support deriving the right price for each product. Pricing in the MRO (maintenance, repair, & operations) industry is extraordinarily complex, because of the many factors that must be considered. Setting a market relevant price requires clear understanding of product, customer, and competitor dynamics. Evolving the technology to support deriving the market relevant price requires constant iteration and collaboration with our business partners. We are a highly visible and important strategic team in our pricing strategy roadmap. You will report to the Manager, Product Engineering and will be based in the Merchandise Mart office. You Will Pioneer a new way of thinking about Data Pipelines, Orchestration and Configuration at Grainger. Develop our next-generation micro-services to enhance and mature a data-driven culture Help develop the Analytics and Data Kubernetes products in AWS Experience building data products for Data Science use cases Assemble complex sets of data that meet requirements Identify and design internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes Build required tools for extraction, transformation and loading of data from data sources Build product features to allow self-service analytics Work with partners including data, design, product and executive teams and assisting them with data-related technical issues You Have Bachelor's Degree or equivalent experience required 3+ years hands-on experience with Modern Data Engineering projects and practices (Airflow, Kafka, Spark, and python) required Successful track record in developing and automating large-scale, high-performance data engineering systems (batch and streaming). Experience with both scripting and system programming languages (Python and Scala). Experience with microservices including defining and testing APIs Experience architecting, developing, and deploying both offline and online feature stores Experience leading data integration efforts of data sources Experience partnering with internal departments (Supply Chain, Marketing, Finance, and HR) to establish requirements. Develop junior team members through modern cloud-based development Translate requirements into technical requirements and produce required source-to-target data mappings. Bring complex concepts into our organization and mentor others. Experience with advanced analytics and machine learning Technology Experience Required: AWS, SQL, Python, Docker/Kubernetes, CI/CD, Git, Snowflake, dbt, Airflow We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace. We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment.
Compétences linguistiques
- English
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