At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. 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.
Responsibilities
- 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
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