Data Engineer

Company: Sephora USA, Inc
Location: San Francisco
Posted on: May 28, 2023

Job Description:

Press Tab to Move to Skip to Content Link Job ID: -227599
Location Name: CA-FSC SF Off (0174)
Address: 525 Market St, 4th Floor, San Francisco, CA 94105, United States (US)
Job Type: Full Time
Position Type: Regular
Job Function: Information Technology
- Company Overview: At Sephora we inspire our customers, empower our teams, and help them become the best versions of themselves. We create an environment where people are valued, and differences are celebrated. Every day, our teams across the world bring to life our purpose: to expand the way the world sees beauty by empowering the Extra Ordinary in each of us. We are united by a common goal - to reimagine the future of beauty. The Opportunity: Your role at Sephora: As a Data Engineer at Sephora, you will: Gather requirements using interviews, document analysis, requirements workshops, business process descriptions, business analysis and workflow analysis. Perform data migration from Enterprise data warehouse to new data platform. Create source to Stage and Stage to Target data mapping documents indicating the source tables, columns, data types, transformation required and business rules to be applied. Collect and analyze business data to develop solutions. Write SQL queries to analyze large datasets and resolve business engineering needs. Analyze and report on computer systems application implementation using Cognos, Tableau, SQL, and Big Data (Hive). Work with Tableau testing on mobile and web platforms. Define aggregation logic for new reporting requests. Analyze new source ingestion required for migration. Develop production support architecture, design, configuration, customization, integration and user acceptance testing. Work on multiple computer systems engineering projects using Software Development Life Cycle (SDLC) and Agile development methodologies. (Position allows some work-from- home flexibility, with schedule to be approved by manager. Must be able to work on site as required). We are excited about you if you have:

• Bachelor's or foreign equivalent degree in Computer Science, Engineering or Information Systems.
• Three (3) years of experience in data engineering and business analytics. Experience must include:
  • Agile
  • SDLC
  • Microsoft SQL server
  • Kafka
  • Tableau
  • Data analysis and mapping, data profiling, functional and data testing. Salary: $141,000 to $155,000 per year depending on experience Please visit our career website for additional information about our benefits package While at Sephora, you'll enjoy--- -
    • The people. You will be surrounded by some of the most talented leaders and teams - people you can be proud to work with.
    • The learning. We invest in training and developing our teams, and you will continue evolving and building your skills through personalized career plans.
    • The culture. As a leading beauty retailer within the LVMH family, our reach is broad, and our impact is global. It is in our DNA to innovate and, at Sephora, all 40,000 passionate team members across 35 markets and 3,000+ stores, are united by a common goal - to reimagine the future of beauty. You can unleash your creativity, because we've got disruptive spirit. You can learn and evolve, because we empower you to be your best. You can be yourself, because you are what sets us apart. This, is the future of beauty. Reimagine your future, at Sephora. Sephora is an equal opportunity employer and values diversity at our company. -We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Sephora is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Sephora will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.

Keywords: Sephora USA, Inc, San Francisco , Data Engineer, Engineering , San Francisco, California