Sr. Data Engineer - (Big Data, Spark, Scala, Python, AWS, RDBMS, SQL)

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.

Responsibilities

• Build scalable, reliable, cost-effective solutions for both the Cloud and on-premises with an emphasis on quality, best-practice coding standards, and cost-effectiveness
• Build and test Cloud-based applications for new and existing backend systems to help facilitate development teams to migrate to the cloud.
• Build platform reusable code and components that could be used by multiple project teams.
• Understand the enterprise architecture within the context of existing platforms, services and strategic direction.
• Implement end-to-end solutions with sound technical architecture, in Big Data analytics framework along with customized solutions that are scalable, with primary focus on performance, quality, maintainability, cost and testability.
• Drive innovative solutions within the platform to establish common components, while allowing customization of solutions for different products.
• Develop design specifications, continuous build and deployment strategy to drive Agile methodology
• Setup and manage expectations with consultants engaged in the projects.
• Provide cloud integration development support to various project teams.
• Build rapid technical prototypes for early customer validation of new technologies
• Collaborate effectively with Data Science to understand, translate, and integrate methodologies into engineering build pipelines
• Collaborate with product owners to translate complex business requirements into technical solutions, providing leadership in the design and architecture processes.
• Provide expert apprenticeship to project teams on technology strategy, cultivating advanced skill sets in application engineering and implementing modern software engineering practices
• Mentor junior team members, providing guidance and support in their professional development
• Stay informed about the latest technology and methodology by participating in industry forums, having an active peer network, and engaging actively with customers
• Cultivate a team environment focused on continuous learning, where innovative technologies are developed and refined through collaborative effort

Key Skills