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senior big data software developer for a multinational television company

We are currently looking for a Remote Senior Software Developer with practical experience in support and development for scalable cloud-native Data Platforms with batch and streaming processing using Kafka and Spark to join our team.

The customer provides Direct-to-Consumer services encompassing global entertainment and news TV properties, TV stations group and radio businesses.

responsibilities
  • Implementing data ingest, processing and serving technologies in near real-time basis
    • Working with data scientists to operationalize machine learning models and build apps to make use of the power of machine learning
      requirements
      • 4-6+ years of experience with Java, Scala or Python
        • Practical data engineering experience (data ingestion, storage and processing) in batch and streaming solutions using Kafka and Spark
          • Understand reactive programming and dependency injection such as Spring to develop REST services
            • Good understanding and practical experience with AWS
              • At least Intermediate level of both spoken and written English (B1 and higher)

                benefits for locations

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                For you

                • Medical insurance package for you and your family
                • Stable income
                • Paid sick leave days

                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, soft, and leadership skills
                • Access to LinkedIn Learning platform
                • Language courses
                • Access to internal and external e-Libraries
                • Certification opportunities
                • Skill advisory service
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