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Responsible for identifying and improving development and delivery processes, working with team members to enhance overall developer experience. Collaborates with Tech Leads to assess and improve existing problems, automate processes, and deploy application artifacts. Requires strong coding, scripting skills, and experience with cloud architectures and deployment automation solutions.
Designing, implementing, and optimizing advanced software solutions in Linux based cloud environments. Working with Java, Python, DBMS, AWS, Microservices, Terraform, and Unit Testing. Collaborating with cross-functional teams and contributing to strategic technical discussions.
Nielsen is seeking a DevOps Engineer with 6 years of experience in AWS, Automation, Python, CI/CD, and Networking to lead the identification, design, and development of critical infrastructure components for cloud adoption within the Watch business.
As a DevOps Engineer at Nielsen, you will work on increasing speed of delivery, improving code quality and security, and optimizing development processes. Responsibilities include identifying bottlenecks, collaborating with team members to improve processes, and enhancing the overall developer experience. Key skills involve domain expertise, proficiency in cloud computing platforms, knowledge of infrastructure as code tools, experience with containerization technologies, and familiarity with CI/CD pipelines and monitoring tools.
As a Data Engineer at Nielsen, you will work with data scientists and engineers to build a data platform on AWS, perform ETL tasks, and automate processes with a focus on cloud security principles. You will collaborate with product owners, implement and deploy features, perform code reviews, and maintain development environments.
The Data Engineer at Nielsen will design and develop robust pipelines, optimize applications for performance, and develop automated tests. They will work closely with backend developers and stakeholders, ensuring smooth communication and support for business needs.
The Data Engineer will work with backend developers to create robust data pipelines, automate tasks, and develop high-quality code. They will optimize applications for performance, manage cloud-based infrastructure, and communicate progress to stakeholders while ensuring business needs are met through automated testing.
As a Data Engineer at Nielsen, you will own the data pipeline and governance of the Data Strategy. Responsibilities include architecting and building scalable software for complex data pipelines, maintaining data storage tiers, collaborating with Data Science, and mentoring project teams on technology strategies.
The Big Data Engineer will develop and implement scalable cloud-based applications, focusing on quality and best practices. Responsibilities include building reusable code, proposing innovative solutions, and mentoring junior team members. The role requires collaboration with teams to translate business requirements into technical solutions, while adhering to Agile methodologies.
Change Manager optimizing business processes and organizational structure. Consult with management to design strategies for efficient implementation with minimum staff resistance. Develop change management programs, analyze operational info, and improve service delivery.
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