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New York, NY (Onsite)

Data Engineer

Company: New York, NY (Onsite)

Location: Full Time United States

Posted on: March 19

Michael Kors is always interested in hearing from talented, globally-minded individuals with a passion for fashion.

If you enjoy working in a creative, fast-paced environment, then we would love to hear from you!
Who You Are:
You are a talented Data Engineer looking to grow at a fantastic company, gaining visibility working with the top executives. You are an analytical thinker, problem solver, and innovator that is looking to work on the latest technologies with employees up and down the organization. You love taking on projects where you interact throughout a global organization and are not afraid to be challenged. You have strong customer data experience with high volume transactions. You are looking for amazing perks including excellent vacation time off, a remote position and more.

What you will do:
  • Join the global data team in building data delivery services that support critical operational and analytical applications for our internal business operations, customers and partners.
  • Prepare, clean, format analytical datasets for processing and analysis.
  • Build and maintain custom ETL pipelines.
  • Become an expert in our datasets, their strengths and weaknesses, and write code to pull and verify data.
  • Conduct database feature engineering to support ongoing quantitative research.
  • Work with developers to create and deploy systems for anomaly detection.
  • Interface with data scientists, software developers, and other analytics operations staff as needed.
  • Serve as a point-of-contact for questions about data structures, definitions, and quality.
  • Work directly with Product and Systems Owners to deliver data products in a collaborative environment.
  • Design department-wide principles and workflow for data quality management.
You'll Need to Have:
  • 5+ years of experience working in Data Engineering
  • 5+ years of experience developing in SQL
  • Experience using ETL tools such as Talend, Informatica, Data Services
  • 5+ years of experience with data profiling and data pipeline development
  • Experience with Python
  • B.S. Computer Science/Engineering/Technology or Statistics/Mathematics or equivalent work experience
  • We'd Love to See:
  • Experience in the retail industry
  • Experience working with large data sets
  • Comfortable participating in tool selection processes regarding data tools and software
  • Hands-on experience leading a team through the entire software development lifecycle of data management and business intelligence solutions
  • Knowledge of industry leading data architecture and data management practices
  • Excellent communication skills, including both oral and written
  • Excellent active listening and critical thinking skills
  • Ability to demonstrate professionalism, confidence, and sincerity
  • Ability to multi-task, exercise excellent time management, and meet multiple deadlines
  • Demonstrated excellence in project management and organization
  • High level of critical thinking and analytical skills
  • Ability to maintain confidentiality and appropriately share information on a need-to-know basis
  • Ability to consistently deliver excellent customer service
  • Excellent attention to detail and ability to document information accurately
  • Capable of resolving escalated issues arising from operations and requiring coordination with other departments

  • At Capri, we are all responsible for creating a diverse and inclusive workplace. We try to inspire change and growth within each other and believe success is a result that comes from our differences. Capri is proud to be an equal opportunity employer committed to inclusivity regardless of age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law. M/D/F/V

    In compliance with certain Pay Transparency laws, employers are required to disclose a salary range. The salary for this position will vary based on role requirements, skill set and years of experience.
    Compensation Range:

    Recommended Skills

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