ジョブファンクション:

雇用形態: フルタイム

所在地: New York, NY

国/地域: USA

Job Title ManagerData Engineer Omni Retail Analytics Product

 

Division: Corporate IT

Location: New York, New York

Reports To: Sr. Manager, Omni Retail Analytics - IT

 

Who We Are:

For more than a century, L’Oréal has devoted its energy, innovation, and scientific excellence solely to one business: Beauty. Our goal is to offer each and every person around the world the best of beauty in terms of quality, efficacy, safety, sincerity and responsibility to satisfy all beauty needs and desires in their infinite diversity. 

 

At L'Oréal, we are inventing the beauty of the future.  As part of our Digital Transformation roadmap, we are designing and implementing the next generation of advanced and flexible analytics products. Our products aim to enable business growth in multi-channel commerce through a deep understanding of 1P/3P selling models and optimizing operational areas in Order Management, Media, content management and Supply Chain.

L’Oréal is in search of a data engineer within our Omni Retail analytics team, who will play critical role in the success of our products by facilitating ecommerce business decisions through data insights. The individual in this role must demonstrate data engineering expertise, creativity, foresight, and mature judgement as they anticipate and solve complex business problems to meet the strategic needs of the company. 

 

What You Will Learn:

  • Understand business priorities and success measures to design and implement the right data solutions.
  • Have a strong hand on experience in Data Engineering and displays eminence in modern data architectures across the organization.
  • Lead architecture design, define and implement end-to-end modern data platforms in support of AI and analytics use cases.
  • Development of design standards, design patterns, CI/CD and test procedures.
  • Collaborate with data architects, ETL developers, engineers, BI developers/data scientists, and information designers to identify and define required data structures, formats, pipelines, metadata, and workload orchestration capabilities.
  • Initiate and deliver strategic roadmaps and gain commitment for enterprise level architecture
  • Maintain technical skills and knowledge of market trends and competitive insights; collaborate and share with the technical community.
  • Support omni retail product data platforms to make them more reliable, stable, and scalable as our usage grows and technology transformation is executed.
  • Collaborate across engineering on the transformation and modernization of enterprise data solutions on Google Cloud Platform (GCP), integrating native GCP services and 3rd party data technologies.
  • Partner with MSP teams as required in incident response and root cause analysis improvements.
  • Experience working with API development best practices, secure coding standards is a plus

 

What We Are Looking For:

Required Qualifications:

  • 5+ years of overall experience in product and/or data architecture, data engineering.
  • Bachelor's Degree or higher in STEM areas such as Computer Science, Information Management, Big Data & Analytics, or equivalent work experience.
  • 2+ years of experience in providing technical leadership from design to implementation of creative data solutions involving GCP (Big query, data flow, data proc, pub/sub, spark/PySpark, python, SQL etc.)
  • 2+ years of experience in architecting solutions for optimal extraction, transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi-structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads.
  • Strong understanding of Agile SDLC implementation in public cloud ecosystems including environment management, test automation, CI/CD, resource optimization
  • 2+ years of experience in analytics/data management strategy formulation, architectural blueprinting, business case development and effort estimation of disruptor-based analytics on GCP.
  • Needs to have worked with software configuration management environments and tools such as JIRA, Git, Jenkins, Bitbucket, Confluence
  • Familiarity with Data Analytics products such as Power BI, Tableau and Looker

 

What’s In It For You:

  • Salary Range: $100,400-143,000 (The actual compensation will depend on a variety of job-related factors which may include geographic location, work experience, education, and skill level)
  • Competitive Benefit Package (Medical, Dental, Vision, 401K, Pension Plan)
  • Hybrid Work Policy (3 Days in Office, 2 Days Work from Home)
  • Flexible Time Off (Paid Company Holidays, Paid Vacation, Vacation Buy Program, Volunteer Time, Summer Fridays & More!)
  • Access to Company Perks (VIP Access to L’Oréal’s Internal Shop for Discounted Products, Monthly Mobile Allowance)
  • Learning & Development Opportunities for Career Progression (Unlimited Access to E-learnings, Lunch & Learn Sessions, Mentorship Programs, & More!)
  • Employee Resource Groups (Think Tanks and Innovation Squads)
  • Access to Mental Health & Wellness Programs 

Don’t meet every single requirement? At L'Oréal, we are dedicated to building a diverse, inclusive, and innovative workplace. If you’re excited about this role but your past experience doesn’t align perfectly with the qualifications listed in the job description, we encourage you to apply anyways! You may just be the right candidate for this or other roles!

 

 

We are an Equal Opportunity Employer and take pride in a diverse environment. We would love to find out more about you as a candidate and do not discriminate in recruitment, hiring, training, promotion, or other employment practices for reasons of race, color, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or disability, or any other legally protected status.

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