Remote Senior Big Data Engineer | EPAM Anywhere

This website uses cookies for analytics, personalization and advertising. Click here to learn more or change your cookie settings. By continuing to browse, you agree to our use of cookies.

Back icon

Senior Big Data Engineer for a Streaming Service Provider

Senior Big Data Engineer for a Streaming Service Provider 40 hrs/week, 12+ months

We are currently looking for a remote Senior Big Data Engineer with 3+ years of data engineering experience, Apache Flink and Apache Spark background and skills to join our team.

The customer is an American subscription video on demand service controlled and majority-owned by the business segment consisting of streaming services and overseas media businesses of one of the world's biggest mass media and entertainment conglomerate.

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


  • Work with the team to build a streaming platform from scratch
    • Create and maintain data pipelines and warehouses systems to power the best user experience through effective data processing
      • Work on building out the core backend services
        • Contribute to the design, architecture, and development of critical backend services
          • Build highly scalable and available systems that are well tested and maintainable
            • Collaborate with other team members to achieve product and business requirements
              • Experiment with new technologies scale for the future


                • 3+ years of data engineering experience
                  • Background and experience with streaming and big data tools and technologies such as Flink, Samza, Spark, Hadoop, Storm and Kafka Streams
                    • Experience with data model design and data warehouse
                      • Knowledge of Java 8 or above
                        • Experience with Spring Framework, especially Spring Boot
                          • AWS skills
                            • SQL and NoSQL databases working experience
                              • Experience building highly scalable, reliable and maintainable services
                                • Experience working with large scale distributed data processing
                                  • English level - B1+
                                    • Good problem-solving and communication skills

                                      Nice to have

                                      • Experience with Amazon Kinesis and EMR

                                        We offer

                                        • Competitive compensation depending on experience and skills
                                          • Work on enterprise-level projects on a long-term basis
                                            • Full-time remote work
                                              • Unlimited access to learning resources (EPAM training courses, English classes, Internal Library)
                                                • Community of 38,000+ industry's top professionals
                                                  Big Data

                                                  40 hrs/week

                                                  Hours per week

                                                  12+ months

                                                  Project length

                                                  Belarus, Russia, Ukraine

                                                  Locations eligible for the position