Leading Retail Lead Big Data Engineer remote position | EPAM Anywhere
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Lead Big Data Engineer for a Leading Retail Company

Lead Big Data Engineer for a Leading Retail Company 40 hrs/week, 12+ months
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We are currently looking for a remote Lead Big Data Engineer with 5+ years of experience in computer science, and strong Scala + Spark skills to join our team.

The customer is an American multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores.

The main pool of tasks is associated with the development of a world-class data platform that helps to predict availability in stores for online orders.

Responsibilities

  • Development of the next-gen application which helps to predict availability in stores for online orders
    • Entire lifecycle of product development from research investigation to production deployment, monitoring, and evaluation

      Requirements

      • 5+ years of experience in computer science, Big Data. A formal degree in at least one of these areas, and work experience in the others
        • 1+ years of relevant leadership experience
          • Strong experience with Scala and Spark
            • Experience with any cloud
              • Experience with Airflow, GCP, Looker

                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