Nielsen is hiring a
Software Engineer - Backend Developer (Java, Scala, Big Data)

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Read by 24 job seekers.

Bangalore, India

At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed. We champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future. 

This position is responsible for participating as a developer in highly-complex or business-critical applications, as well as testing, and supporting them as needed.

  • Understand the enterprise architecture within the context of existing platforms, services and strategic direction. 
  • Contribute to technical solutions in Big Data analytics framework, with primary focus on performance, quality, maintainability, cost and testability. 
  • Contribute to innovative solutions within the platform to establish common components, while allowing customization of solutions for different products.
  • Contribute hands- on development of data analytics in line with reporting needs as reference implementation for the team. 
  • Learn and implement how to develop solutions with accuracy, performance, scalability, stability, cost-effectiveness and maintainability. 
  • Perform hands-on technology spikes following standard architecture, design patterns and company policies, standards and best practices. 
  • Contribute to design specifications, continuous build and deployment strategy to drive Agile methodology.
  • Recommend changes on project design concepts to improve efficiency. 
  • Coach and mentor more junior developers on design and technical issues, and support development of systems where needed. 

  • Key Skills
  • Domain Expertise
  • 3+ years of experience as a backend developer in common languages and frameworks: Java, Scala, Big Data, Hadoop, Spark, Spark SQL, Presto \ Hive, SQL, Cloud (preferably AWS), Docker, RDBMS (such as Postgres and/or Oracle), Linux, Shell scripting, GitLab, Airflow.
  • E - Bachelor’s degree in computer science, engineering (any), or related (foreign equivalent degree acceptable), experience as a professional developer in information technology solutions development, or related. Having studied statistical methods and operation research is a plus

  • Technical Skills
  • 3 years of experience in Java with a mastery of object-oriented design principles; 
  • 2+ years of experience: big data using Spark in developing distributed processing applications; building applications with immutable infrastructure in the AWS (Amazon Web Services) Cloud with automation technologies like Terraform or Ansible or Cloud Formation. 
  • Any level of experience in and/or knowledge of: Hadoop, Service-oriented architecture, Kubernetes, Docker, Scala, Airflow, SQL, NoSQL, Spark Streaming, and Git.
  • Knowledge of Agile software development methodology
  • Demonstrated ability to architect pluggable, reusable platform components pertinent to data analytics and ingestion technologies
  • Demonstrated knowledge of software development technology, principles, methods, tools, and practices and industry standards and trends; and current web and database technologies.
  • Demonstrated effective analytical, oral and written communication, project management, and strategic problem-solving and solution-finding skills.

  • Mindset and attributes
  • Strong communication skills with ability to communicate complex technical concepts and align organization on decisions
  • Sound problem-solving skills with the ability to quickly process complex information and present it clearly and simply
  • Utilizes team collaboration to create innovative solutions efficiently

  • Estimated Salary range:

    Our salary intelligence, powered by our AI algorithms, has calculated an estimated range for this position between $18,000 - $28,000 . Please note that the actual salary for this position may vary, as it is dependent on various factors including but not limited to experience, location, and market dynamics.

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