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
