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, Chaps, among others, constitute one of the world's most widely recognized families of consumer brands. At Ralph Lauren, we unite and inspire the communities within our company as well as those in which we serve by amplifying voices and perspectives to create a culture of belonging, ensuring inclusion, and fairness for all. We foster a culture of inclusion through: Talent, Education & Communication, Employee Groups and Celebration.
As a Data Engineer specializing in pipeline optimization, you will be responsible for improving the efficiency, reliability, and scalability of existing data pipelines within our organization. Your primary focus will be on analyzing the performance of existing data processing workflows, identifying bottlenecks, and implementing solutions to optimize their operation. You will collaborate closely with data scientists, software engineers, and other stakeholders to ensure the smooth flow of data through our systems.
Essential Duties & Responsibilities
* Work with the Operations team to analyze existing data pipelines to identify performance bottlenecks, scalability limitations, and areas for improvement.
* Collaborate with cross-functional teams to understand data requirements, business objectives, and user needs.
* Develop and implement strategies to optimize data ingestion, transformation, and storage processes.
* Conduct thorough testing and validation of pipeline modifications to ensure data accuracy, integrity, and reliability.
* Design and implement data quality checks and validation procedures to maintain data integrity throughout the pipeline.
* Collaborate with infrastructure teams to optimize resource allocation and improve overall system performance.
* Document pipeline modifications, configurations, and troubleshooting procedures for reference and future use.
* Provide technical guidance and mentorship to junior data engineers on best practices for pipeline optimization.
Experience, Skills & Knowledge
* Bachelor's degree in Computer Science, Engineering, or a related field.
* Proven experience working as a Data Engineer, specifically in optimizing data pipelines.
* Strong programming skills in languages such as Python, and SQL.
* Proficiency in working with big data technologies like Hadoop, Spark, or similar distributed computing frameworks.
* Solid understanding of data modeling, data warehousing, and ETL principles.
* Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
* Familiarity with data visualization tools and techniques for monitoring pipeline performance.
* Strong analytical and problem-solving skills with the ability to troubleshoot complex data pipeline issues.
* Knowledge of database systems and SQL for data retrieval and manipulation.
* Excellent communication and collaboration skills to work effectively with cross-functional teams.
* Ability to work independently, prioritize tasks, and manage multiple projects simultaneously.