Data Engineering Leader
1 week ago
We are seeking an experienced Data Engineering Leader to join our team at Nielsen. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining large-scale data processing systems that enable our clients to make informed business decisions.
About UsNielsen is a leading global information and measurement company with over 90 years of experience in 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. We champion innovation, collaboration, and excellence, and we're proud to stand at the forefront of the media revolution.
Job DescriptionThe ideal candidate will have a strong background in software development and big data processing using technologies such as Apache Spark, Hadoop, and Cloud (preferably AWS). Experience with orchestration tools like Apache Airflow or similar tools is also required. Strong knowledge on Unix/Linux OS, commands, shell scripting, python, JSON, YAML, and Agile scrum experience in application development is necessary. Additionally, the candidate should have a solid understanding of cloud architecture, cloud optimization, and security principles.
Key Responsibilities- Design and develop 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
- 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
- Bachelor's degree in computer science, engineering plus 4-8 years of experience in information technology solutions development
- Strong cloud implementation expertise in cloud architecture
- Strong analytical and technical skills in troubleshooting and problem resolution
- Ability to provide solutions utilizing best practices for resilience, scalability, cloud optimization, and security
- Experience with big data using Apache Spark in developing distributed processing applications; building applications with immutable infrastructure in the AWS Cloud with automation technologies like Terraform or Ansible or Cloud Formation
We offer a competitive salary of $150,000 per year, based on your experience and qualifications. In addition, you will receive a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and paid time off. We also offer opportunities for professional growth and development, as well as a dynamic and inclusive work environment.
About the LocationThis role is based in New York, USA, but remote work options are available. We are committed to diversity, equity, and inclusion, and we welcome applications from candidates who share our values.
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