Data Engineer at Procter & Gamble (P&G) in Cincinnati, OH
About the Role:
We are looking for a Data Engineer to help us develop data products that help Retail Team, Categories, and Market Functions deliver and activate real-time insights that drive profitable category growth with our retailers faster than ever before. You'll work within the North American IT Market Operations Team, reporting to our Senior Director of Data and Analytics. What you will be doing:
Design, develop, and support data pipelines, warehouses, data models, and reporting systems to tackle business process, user, and product opportunities Partner with business stakeholders, upstream infrastructure platform teams, and downstream data consumers to understand data and translate business requirements into technical design of building and leveraging scalable data pipelines Use your expertise in data engineering best practices to guide stakeholders to do the same through building proofs of concept and prototypes Build efficient solutions on top of the Azure Stack Qualifications You have:
Experience with ETL in SQL and NoSQL data stores Experience in coding languages like R and Python Hands on experience with the Azure Stack, including computing services and data warehouses Familiarity with a range of data engineering approaches, covering theoretical best practices and the technical applications of these methods Familiarity with GCP and AWS cloud providers Excellent communication skills with business intuition and ability to understand business systems, versatility and willingness to learn new technologies on the job Bonus points:
Experience using automation best practices for CI/CD Experience with best practices for development including query optimization, version control, code reviews, and documentation Familiarity with end-user visualization tools like Power BI and Tableau Our
Benefits:
Health Care Benefits Paid Time Off Wellness Programs Retirement Plan Flex Benefits/Flexcomp Tuition Reimbursement Work-Live Balance Options:
Work from Home, flexible scheduling, personal leave of absence
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
We are looking for a Data Engineer to help us develop data products that help Retail Team, Categories, and Market Functions deliver and activate real-time insights that drive profitable category growth with our retailers faster than ever before. You'll work within the North American IT Market Operations Team, reporting to our Senior Director of Data and Analytics. What you will be doing:
Design, develop, and support data pipelines, warehouses, data models, and reporting systems to tackle business process, user, and product opportunities Partner with business stakeholders, upstream infrastructure platform teams, and downstream data consumers to understand data and translate business requirements into technical design of building and leveraging scalable data pipelines Use your expertise in data engineering best practices to guide stakeholders to do the same through building proofs of concept and prototypes Build efficient solutions on top of the Azure Stack Qualifications You have:
Experience with ETL in SQL and NoSQL data stores Experience in coding languages like R and Python Hands on experience with the Azure Stack, including computing services and data warehouses Familiarity with a range of data engineering approaches, covering theoretical best practices and the technical applications of these methods Familiarity with GCP and AWS cloud providers Excellent communication skills with business intuition and ability to understand business systems, versatility and willingness to learn new technologies on the job Bonus points:
Experience using automation best practices for CI/CD Experience with best practices for development including query optimization, version control, code reviews, and documentation Familiarity with end-user visualization tools like Power BI and Tableau Our
Benefits:
Health Care Benefits Paid Time Off Wellness Programs Retirement Plan Flex Benefits/Flexcomp Tuition Reimbursement Work-Live Balance Options:
Work from Home, flexible scheduling, personal leave of absence
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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