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big data engineer for a leading retail company

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Sorry, the job is expired

We are currently looking for a remote Big Data Engineer with 6+ months 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
      • 6+ months of experience in computer science, Big Data. A formal degree in at least one of these areas, and work experience in the others
        • Strong experience with Scala and Spark
          • Experience with any cloud
            • Experience with Airflow, GCP, Looker
              • English level proficiency B1

                benefits for locations

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                For you

                • Insurance Coverage 
                • Paid Leaves – including maternity, bereavement, paternity, and special COVID-19 leaves. 
                • Financial assistance for medical crisis 
                • Retiral Benefits – VPF and NPS 
                • Customized Mindfulness and Wellness programs 
                • EPAM Hobby Clubs

                For your comfortable work

                • Hybrid Work Model 
                • Soft loans to set up workspace at home 
                • Stable workload 
                • Relocation opportunities with ‘EPAM without Borders’ program

                For your growth

                • Certification trainings for technical and soft skills 
                • Access to unlimited LinkedIn Learning platform 
                • Access to internal learning programs set up by world class trainers 
                • Community networking and idea creation platforms 
                • Mentorship programs 
                • Self-driven career progression tool

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