Clothing Lead Big Data Engineer remote vacancies | EPAM Anywhere
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Lead Big Data Engineer for Clothing Company

Lead Big Data Engineer for Clothing Company 40 hrs/week, 12+ months

Currently, we are looking for a remote Lead Big Data Engineer with 5+ years of experience to join our team.

The customer is a Spanish multinational clothing company. Being the biggest fashion group in the world, it operates over 7,200 stores in 93 markets worldwide.

The project is focused on the development of the application that is required to quantify stocks, calculate the variation within the different stocks daily and compare. The data is originated in shops and warehouse via RFID (+10 million records per day) and after some process is uploaded into the system.

Responsibilities

  • Team coordination, code review
    • PoC implementation
      • Hands-on involvement

        Requirements

        • 5+ years of Big Data experience
          • 1+ years of relevant leadership experience
            • Experience with Java 11
              • Experience with Apache Spark
                • Experience with Apache Kafka
                  • Experience with Clouds
                    • Fluent English
                      • Good communication skills

                        Nice to have

                        • Azure Cloud production experience
                          Big Data
                          Apache Kafka
                          Apache Spark

                          Benefits in eligible locations

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                          For you

                          • Voluntary health insurance for you (100% covered) and your family (with corporate discount)
                          • Individual sessions with professional psychologists and coaches
                          • Free corporate sports and wellness programs
                          • Stable income
                          • Paid time off
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                          For your comfortable work

                          • 100% remote work forever
                          • Free licensed software
                          • Possibility to work on your own device (BYOD)
                          • Stable workload
                          • Relocation opportunities
                          • Flexible engagement models
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                            For your growth

                            • Free trainings for technical and soft skills
                            • Access to LinkedIn Learning platform
                            • Language courses
                            • Access to internal and external e-Libraries
                            • Certification opportunities
                            • Skill advisory service

                              40 hrs/week

                              Hours per week

                              12+ months

                              Project length

                              Belarus, Russia, Ukraine

                              Locations eligible for the position