Ralph Lauren off campus 2024 Data Engineer
Ralph Lauren off campus 2024
Ralph Lauren interview is schedule to hire Business Analytics Data Engineer from technical background. Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of premium lifestyle products in five categories: apparel, accessories, home, fragrances, and hospitality. For more than 50 years, Ralph Lauren’s reputation and distinctive image have been consistently developed across an expanding number of products, brands and international markets. The Company’s brand names, which include Ralph Lauren, Ralph Lauren Collection, Ralph Lauren Purple Label, Polo Ralph Lauren, Double RL, Lauren Ralph Lauren, Polo Ralph Lauren Children, and Chaps, among others, constitute one of the world’s most widely recognized families of consumer brands.. Ralph Lauren latest job notification and other details are mentioned below:
About Role
Data Engineer will work with the Global Analytics team to build, maintain, and optimize data pipelines for key data and analytics consumers including business and data analysts and data scientists covering our digital and physical channels and value chain
Job Location:
Bangalore
Eligibility Criteria for Ralph Lauren hiring
- The ideal candidate will have a combination of BI and Data Engineering skills with a technical or computer science degree.
- Strong experience on working with AWS stack is required.
- Strong experience in Agile development is preferred.
Responsibilities
- Work with a culture of continuous improvement to deliver the highest performance and availability from our data platforms.
- Drive Automation through effective metadata management: The data engineer will be responsible for using innovative and modern tools, techniques and architectures to partially or completely automate the most-common, repeatable and tedious data preparation and integration tasks in order to minimize manual and error-prone processes and improve productivity.
- Lead the solutioning and root cause analysis of tickets/issues raised by business related to our data pipelines across flow across different systems and tools used across the Analytics team including AWS Redshift, MicroStrategy, Airflow, AWS Elastic Map Reduce, AWS Kinesis, etc. Accountable for performance, availability, uptime and cost of the environment. Accountable for the systems roadmap and platform upgrades. Drive continuous improvement in cost and performance.
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