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Backend Engineer at Nielsen responsible for building scalable software solutions, working with Agile methodologies, and collaborating with Data Science teams.
The Backend Engineer at Nielsen is responsible for designing, developing, and maintaining scalable and distributed backend systems using C# and .NET Core within a microservices architecture. The role involves collaborating with cross-functional teams to deliver robust and efficient solutions for web applications. Key responsibilities include microservices development, API development, database design and optimization, backend architecture, collaboration and communication, code quality and testing, performance optimization, security implementation, and version control and CI/CD.
Backend Engineer responsible for building scalable, reliable, and cost-effective solutions for both Cloud and on-premises environments. Must have 3-5 years of experience with strong technical skills in troubleshooting and problem resolution. Proficient in .Net Programming, Java, Python, JavaScript, SQL, and various technologies.
Responsible for developing and maintaining highly complex in-house data coding application software and services in AWS using C#, .NET Core, Python, Spark, and RDS Postgres. Collaborate with cross-functional teams to deliver robust and efficient backend systems within a microservices architecture.
Responsible for designing and developing functional APIs to support internal and customer needs, writing unit and integration tests, and optimizing scalable distributed systems in the cloud.
As a Software Engineer at Nielsen, responsible for developing APIs and integrating systems. Requires 3-5 years of backend development experience in NodeJS, proficiency in TypeScript, and familiarity with databases and RESTful services.
Responsible for participating as a Senior developer in highly-complex or business-critical applications, testing, and supporting them as needed. Implement solutions in Big Data analytics framework with a focus on performance, quality, and scalability. Collaborate in the creation of common components and support data analytics development. Practice Agile methodology and adhere to design patterns and best practices.
Seeking a detail-oriented FP&A analyst with strong financial modeling skills to assist with financial reporting, monthly close activities, and data collation. Responsibilities include driving financial reporting, ensuring accuracy of revenue recognition, tracking variances, and supporting end-to-end finance transformation. Requires a Bachelor's degree in Accounting/Finance, 2-4 years of FP&A/accounting experience, proficiency in SAP, Power BI, and Excel, and strong analytical ability.
As an Analytics Designer-Sports at Nielsen Sports, you will be responsible for building analytical solutions for client projects, analyzing data from various sources, and providing valuable insights to improve advertising and media strategies in the sports industry. Strong communication, analytical, and presentation skills are essential for this role, along with expertise in Python, SQL, R, and Business Intelligence tools like PowerBI.
As an Associate Data Engineer, you will build and manage data pipelines for scheduled and real-time use cases using tools like Airflow. Responsibilities include collaborating with teams to design functional pipelines, writing tests, optimizing applications, and ensuring that solutions align with stakeholder needs.
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