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lead big data engineer for a leading retail company

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
                • Proficient English (written and spoken) B2

                  benefits for locations

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                  For you

                  • Paid time off
                  • Paid sick leave days
                  • Stable income
                  • Meal and home office compensation

                  For your comfortable work

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

                  For your growth

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