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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 Senior developer in highly-complex or business-critical applications, as well as testing, and supporting them as needed.

Responsibilities

• Understand the enterprise architecture within the context of existing platforms, services and strategic direction.

• Implement solutions in Big Data analytics framework along with customized solutions that are scalable, with primary focus on performance, quality, maintainability, cost and testability.

• Collaborate in the creation of common components, while allowing customization of solutions for different products.

• Conduct guided hands-on development of data analytics in line with reporting needs as reference implementation for the team.

• Learn how to verify accuracy, performance, scalability, stability, cost-effectiveness and maintainability of team delivery.

• Leverage theoretical knowledge of design patterns, standards and best practices to support spikes activities.

• Practice Agile methodology.

Key Skills

• Domain Expertise

• 1+ 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

• Experience in Java with a mastery of object-oriented design principles; Experience in 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