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Lead Big Data Engineer

Lead Big Data Engineer 40 hrs/week, 12+ months
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We are looking for a remote Lead Big Data Engineer with 5+ years of experience in Java development, and expertise in Big Data (Hadoop, Spark, Kafka, etc.) to join our team.

The successful candidate will join EPAM and take part in new high-profile projects where he/she will have an opportunity to work with Big Data.


  • 5+ years’ Java development of applications and enterprise systems
    • Experience with Big Data (Hadoop, Spark, Kafka, etc.)
      • Extensive experience building scalable, high-performance distributed systems, systems that deal with large data volumes, n-tier, client/server, cluster and load balanced architectures, web applications
        • Upper-Intermediate level of English

          Nice to have

          • Machine learning experience
            • Semantic Web and Linked Data (DBpedia, Freebase, RDF/SPARQL, etc.)
              • Natural language processing and machine learning (Apache OpenNLP, etc.): Segmentation, Tokenization, Parsing, Entity extraction
                • Working experience with script languages – Bash, PHP, Perl, Groovy
                  • Knowledge of HTML, JavaScript, XML/XSL

                    Benefits in eligible locations


                    For you

                    • Voluntary health insurance for you (100% covered) and your family (with corporate discount)
                    • Individual sessions with professional psychologists and coaches
                    • Free corporate sports and wellness programs
                    • Stable income
                    • Paid time off

                    For your comfortable work

                    • 100% remote work forever
                    • Free licensed software
                    • Possibility to work on your own device (BYOD)
                    • Stable workload
                    • Relocation opportunities
                    • Flexible engagement models

                      For your growth

                      • Free trainings for technical and soft skills
                      • Access to LinkedIn Learning platform
                      • Language courses
                      • Access to internal and external e-Libraries
                      • Certification opportunities
                      • Skill advisory service

                        40 hrs/week

                        Hours per week

                        12+ months

                        Project length

                        Belarus, Russia, Ukraine

                        Locations eligible for the position