Data Engineer

Company Description
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.

Position Overview
Based in Bengaluru, India this 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

Essential Duties & 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.

Experience, Skills & Knowledge
Education and Experience · 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 Lean Six Sigma and/or Agile development is preferred. Technical Knowledge/Skills · Deep technical expertise in big data, data warehousing, analytics, and data science related technologies including data lakes, ETL/ELT, data modeling, data visualization, and machine learning using AWS. · Strong experience working on AWS cloud architecture · Experience using Python and/or R in an enterprise big data and advancement analytics environment. · Experience with relevant technologies including AWS Redshift and Spectrum, AWS Athena, AWS Kinesis, and MicroStrategy. · Strong experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional data integration technologies. · Experienced in agile methodologies and capable of applying DevOps and increasingly DataOps principles to data pipelines to improve the communication, integration, reuse and automation of data flows between data managers and consumers across an organization Interpersonal Skills and Characteristics · Strong experience supporting and working with cross-functional teams in a dynamic business environment. · Required to have the ability to interface with, and gain the respect of, stakeholders at all levels and roles within the company. · Is a confident, energetic self-starter, with strong interpersonal skills. · Has good judgment, a sense of urgency and has demonstrated commitment to high standards of ethics, regulatory compliance, customer service and business integrity.