Data Engineer - 310270

Date: Jun 13, 2024

Location: LAKE FOREST, IL, US, 60045-5201

Company: Grainger Businesses

 

 

Grainger is a leading broad line distributor with operations in North America, Japan and the United Kingdom. We achieve our purpose, We Keep the World Working®, by serving more than 4.5 million customers with a wide range of products that keep their operations running and their people safe. Grainger also delivers services and solutions, such as technical support and inventory management, to save customers time and money.

We're looking for passionate people who can move our company forward. We have a welcoming workplace where you can build a career for yourself while fulfilling our purpose to keep the world working. We embrace new ways of thinking and recognize everyone is an individual. Find your way with Grainger today.

 

 

Grainger Corporate Services LLC is seeking a Data Engineer in Lake Forest, IL with the following requirements): Bachelor’s degree in Computer Science, Engineering or related field plus 5 years related experience. Prior experience must include: Architect and implement cloud data lake solutions, resolving discrepancies collaboratively and providing ongoing support to cross-functional teams; Design and implement secure, performant data models to meet scalability and performance needs; Develop data pipelines to ingest, cleanse and enrich data for analytics using distributed frameworks such as Hadoop, Spark, Hive etc.; Enable data discovery and curation for analytical purpose by collaborating with data scientists and provide data integration solutions; Create analytical reports to support all stake holders by building data products; Collaborate with stakeholders including team and product managers to create secure and efficient data products; Collaborate with architects and stake holders to design data lakes and create data products; Ensure that data processing pipelines and ETL jobs are designed for scalability, making use of distributed technologies like Hadoop, Spark, and Hive to handle increasing data volumes efficiently. 100% remote work allowed. Please submit resume to https://jobs.grainger.com, reference job #310270.

 

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Grainger is an equal opportunity/affirmative action employer. We provide equal employment opportunities regardless of race, color, national origin, sex, sexual orientation, gender identity or expression, religion, age, disability status, veteran status, or any other protected characteristic. Our commitment to inclusivity includes offering reasonable accommodations during the hiring process. If you require an accommodation during interviews, please let us know and we will provide the appropriate assistance.