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Lead Big Data Engineer with Scala Expertise

Lead Big Data Engineer with Scala Expertise 40 hrs/week, 12+ months

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

As a Lead 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 one of the biggest multi-brand online retailers in the UK. It's our long-playing customer and now they aim to enhance the use of its existing data by improving its storage capabilities and accessibility. The goal of the project is to build a system from scratch based on Data Lake architecture with Query Layer which provides the ability for multiple data consumer systems to query data from the lake. An additional challenge in Query Layer design is to make it auto-scalable to handle peaks in demand with a high uptime percentage as for HA characteristics.

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


  • 5+ years of experience with Big Data stack: Spark, Hive, HDFS
    • Basic Scala knowledge
      • Experience with AWS Cloud services
        • Knowledge of Linux will be a plus
          • Knowledge of scripting will be a plus
            • Excellent communication skills, team player
              • Good spoken and written English

                Project technologies and tools

                • AWS Services - EMR, S3, Lambda, EC2, RDS, CloudFormation, etc.
                  • Hortonworks Data Platform (HDP)
                    • Hive
                      • Spark, Spark Streaming
                        • Yarn
                          • Apache Knox
                            • Kafka
                              • Scala as programming language

                                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
                                          Big Data

                                          40 hrs/week

                                          Hours per week

                                          12+ months

                                          Project length

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

                                          Locations eligible for the position