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Senior Big Data Engineer for Beauty Retailer

Senior Big Data Engineer for Beauty Retailer 40 hrs/week, 12+ months

Today we are a global team of technologists and thinkers, who help transform the world with the power of software, enabling our customers to be competitive and disruptive in the marketplace through innovative technology solutions.

As a remote Senior Big Data Engineer, you will live on the front lines of the products we create, and build features used by millions of people every day.

Our customer is a leader in global prestige retail, teaching and inspiring clients to play in a world of beauty. The company has earned its reputation all over the world as a beauty trailblazer with its expertise, innovation, and entrepreneurial spirit. Our project is about developing a full-stack e-Commerce application for the world's biggest cosmetics retailer chain of stores.

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

Requirements

  • 3+ years of experience in Java/Scala or Python
    • Experience with HIVE, Spark will be a plus
      • Experience with Apache Hadoop will be a plus
        • English level: Intermediate+ (B1+)

          Project technologies and tools

          • SQL (Hive is preferable)
            • Hadoop
              • Kafka
                • Spark
                  • Spark Streaming
                    • Cloud (Azure)
                      • Scala or Python
                        • Databricks (nice to have)
                          • Avro (nice to have)

                            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