SENIOR STAFF DATA ENGINEER
Company: Grainger
Location: Chicago
Posted on: November 15, 2024
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Job Description:
As a leading industrial distributor with operations primarily in
North America, Japan and the United Kingdom, We Keep The World
Working by serving more than 4.5 million customers worldwide with
products delivered through innovative technology and deep customer
relationships. With 2023 sales of $16.5 billion, we're dedicated to
providing value for customers, fostering an engaging culture for
team members and driving strong financial results.Our welcoming
workplace enables you to learn, grow and make a difference by
keeping businesses running and their people safe. As a 2024
Glassdoor Best Place to Work and a Great Place to Work-Certified
company, we're looking for passionate people to join our team as we
continue leading the industry over our next 100 years.Position
Details:We are looking for aSenior Staff Data Engineeron our
Customer Information Management (CIM) team. The team's primary
mission is to build analytical data products by creating,
gathering, maintaining and operationalizing real-world information
about our customers to drive growth actions across sales and
marketing.You will be responsible for helping design and develop
data pipelines and data products. You will work with SMEs,
architects, analysts, data scientists, stake holders and others to
build solutions that integrate, process and store data from many of
our internal and external enterprise data sources.This role will be
reporting to the Manager, CIM, Product Engineeringand is based out
of Chicago.You Will:Enable analytics and reporting by centralizing
and integrating high quality, large, complex data sets in a highly
performant and scalable cloud analytical platformWork closely with
architects, stakeholders, and product teams to implement data
pipelines to ingest, cleanse, and enrich data for analytics to
downstream stakeholdersDesign and implement secure, performant data
models to meet the scalability and performance needs of data
productUnderstand trends and emerging technologies and evaluate the
performance and applicability of potential tools for our
requirements.Build data models with DBT to transform data and
ensure data quality by creating DBT unit tests.Build and maintain
the data quality dashboards in streamlit.Partner with stakeholders
including data, design, product and executive teams and assisting
them with data-related technical issuesDevelop data
products/systems using large and complex data sets to meet business
and technical requirementsWork with product and business to define
roadmap, communication and architecture.Promote effective team
practices, shape team culture, and engage in active mentoring.Pair
program with developers daily to ensure better quality code, shared
knowledge and increased resiliency of our applicationsAdvocate for
best practices on the team and prescribe coding and testing
standards and toolsWork across the CIM Domain to establish best
practices and coherent ways of working between and within teams.You
Have:10 years of experience with Modern Data Engineering projects
and practices: designing, building, and deploying scalable data
pipelines5 + years of experience in designing building deploying
cloud native solutionsAt least 3 years of experience with AWS,
Snowflake, DBT, Airflow/Astronomer, Python, Docker/Kubernetes,
CI/CD, Git, familiarity with DatabricksExperience in working
closely with architects to design and develop data lake, data
pipelines, and data product publication strategy. Familiarity with:
Data mesh architectureExperience designing and implementing
efficient, reusable, and scalable data processing systems and
pipelines in Databricks and Snowflake.Educate and mentor the junior
data engineers on data engineering best practices.Experience
partnering with internal departments to establish
requirementsProven experience collaborating across teams to develop
and implement data engineering best practices.Exposure to analytics
and machine learningFamiliarity with BI tools such as Tableau,
PowerBIRewards and Benefits:With benefits starting day one,
Grainger is committed to your safety, health and wellbeing. Our
programs provide choice and flexibility to meet our team members'
individual needs. Check out some of the rewards available to you at
Grainger.Medical, dental, vision, and life insurance plansGenerous
paid time off (PTO) and 6 company holidays per yearAutomatic 6%
401(k) company contribution each pay periodEmployee discounts,
parental leave, 3:1 match on donations and tuition reimbursementA
comprehensive set of emotional, financial, physical and social
wellbeing programsWe are committed to equal employment opportunity
regardless of race, color, ancestry, religion, sex, national
origin, sexual orientation, age, citizenship, marital status,
disability, gender, gender identity or expression, or veteran
status. We are proud to be an equal opportunity workplace.We are
committed to fostering an inclusive, accessible 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. With this in mind,
should you need a reasonable accommodation during the application
and selection process, please advise us so that we can provide
appropriate assistance.
Keywords: Grainger, Hammond , SENIOR STAFF DATA ENGINEER, Engineering , Chicago, Indiana
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