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Senior Big Data Engineer (Scala) for Retail Project

Senior Big Data Engineer (Scala) for Retail Project 40 hrs/week, 12+ months

As a remote Senior Big Data Engineer (Scala), 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 is 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 the 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 high uptime percentage as for HA characteristic.

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 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
              • 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

                            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
                                            Big Data

                                            40 hrs/week

                                            Hours per week

                                            12+ months

                                            Project length

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

                                            Locations eligible for the position