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lead big data engineer for multinational manufacturer

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Currently we are looking for a remote Lead Big Data Engineer.

Our Customer is an American multinational manufacturer and marketer of prestige skincare, makeup, fragrance and hair care products, based in Midtown Manhattan, New York City. The company owns a diverse portfolio of brands, distributed internationally through both digital commerce and retail channels.

We are looking for a Big Data developer, who has strong experience in implementing data pipelines (both real-time and batch) using Spark.

The team is building a customer data platform in Azure for a multinational manufacturer of prestige beauty products:
•One repository for all consumer data in Europe to enable business capabilities;
•Seamless experience by aligning online and offline consumer & associated master data in Europe to support business capabilities;
•Generate Consumer Best record;
•Integration with Google Cloud platform;
•Integration with cloud-based CRM platform to enable targeted marketing campaigns;
•Integration with third-party systems.

  • Good knowledge of Scala (4+ years of experience)
    • Experience in SQL
      • Understanding of data platform concepts in Cloud environments
        • Experience in building data processing pipelines
          • Hands on Spark
            • MS Azure Cloud – nice to have
              • Good command of English (B2)

                benefits for locations


                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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