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Data Engineer – Retail Analytics
Company | Procter & Gamble |
Address | Cincinnati, OH, United States |
Employment type | FULL_TIME |
Salary | |
Category | Manufacturing |
Expires | 2023-09-07 |
Posted at | 9 months ago |
Job Location
- Develop and support data pipelines, warehouses, data models, and reporting systems to tackle business opportunities
- Lead and continuously improve end-to-end service delivery including strategic vendor management, operations, and product innovation.
- Leverages coding standards and best practices to ensure efficient and re-usable services and components
- Partner with business stakeholders, upstream infrastructure platform teams, and downstream data consumers to understand and translate business requirements into technical design
- Designs, develops, and implements data and analytics cloud-based analytics platforms (DAP) and pipelines which acquire, cleanse, transform and publish data.
- Build & operate efficient solutions in the Azure Stack
- Familiarity or experience leading IT products through the full product lifecycle from design to development to operations
- Familiarity or experience in coding languages like R and Python
- Excellent communication skills with business intuition and ability to understand business systems, versatility, and willingness to learn new technologies on the job
- Familiarity with end-user visualization tools like Power BI
- Familiarity or experience in one or more modern application development framework methods and tools (e.g. Disciplined Agile, Scrum).
- The ability to build relationships and work in diverse, multidisciplinary teams
- Familiarity or experience with a range of data engineering best practices for development including query optimization, version control, code reviews, and documentation
- Familiarity or experience with ETL in SQL and NoSQL data stores
- Hands-on experience with the Azure Stack including computing services and data warehouses (Azure Data Factory, Azure Databricks)
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