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lead big data engineer for a global entertainment company

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Java, Big Data, Cloud.AWS
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Sorry, the job is expired

We're looking for a remote Lead Data Engineer with practical experience in support and development for a 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
  • Work on a true Big Data project
    • Dive deep into AWS Big Data world - pave the way & position yourself as an expert in the exploding domain
      • Participate in the design – take part in an exploration effort, try a multitude of the AWS Big Data services, propose & defend architectural choices
        • Communicate with the customer - work directly with the Customer team, led with the experienced yet open-minded management
          requirements
          • 1+ year of relevant leadership experience
            • 6+ years of experience with Java, Scala or Python
              • Data and API ninja – You are also very handy with big data framework such as Hadoop & Apache Spark, NoSQL systems such as Cassandra or DynamoDB
                • Understand reactive programming and dependency injection such as Spring to develop REST services
                  • Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases)
                    • Good understanding and practical experience with AWS
                      • Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning
                        • At least Intermediate level of both spoken and written English (B1 and higher)

                          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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