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Senior Big Data Engineer (Spark) for Beauty Products Manufacturer

Senior Big Data Engineer (Spark) for Beauty Products Manufacturer 40 hrs/week, 12+ months

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 remote Senior 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.

Please, note that even though you are applying for this position, you still can be offered other projects to join within EPAM Anywhere.


  • 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;
                • 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;
                          • English level: Intermediate+ (B1+)

                            We offer

                            • Competitive compensation depending on experience and skills
                              • Work in enterprise-level projects long-term
                                • Full-time remote work (you can work from anywhere you are)
                                  • Unlimited access to learning courses (LinkedIn learning, EPAM training courses, English regular classes, Internal Library)
                                    • Community of 36,700+ industry’s top professionals
                                      • Corporate and social events
                                        Big Data

                                        40 hrs/week

                                        Hours per week

                                        12+ months

                                        Project length

                                        Belarus, Brazil, Chile, Colombia, India, Russia, Ukraine

                                        Locations eligible for the position