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lead big data engineer

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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.

requirements
  • 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 for locations

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                    For you

                    • Paid time off
                    • Paid sick leave days
                    • Stable income
                    • Meal and home office compensation

                    For your comfortable work

                    • 100% remote work 
                    • Hybrid work opportunities
                    • 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
                    • Free access to LinkedIn Learning platform
                    • Free access to internal and external e-Libraries
                    • Certification opportunities
                    • Skill advisory service
                    • Language courses
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