Responsibilities
• System Deployment:
o Conceive, design and build new features for the Collection and/or Crediting systems, ensuring data accuracy and data throughput across a system deployed in multiple countries and data centers.
o Collaborate with Product Leaders to define business rules to be implemented in the crediting system - at times very complex rules that need to be validated via proof of concepts
• CI/CD Implementation:
o Design and implement CI/CD pipelines for automated build, test, and deployment processes.
o Ensure continuous integration and delivery of features, improvements, and bug fixes.
o Create design blueprints that can be used by others
• Code Quality and Best Practices:
o Define and enforce coding standards, best practices, and design principles.
o Conduct code reviews and provide constructive feedback to maintain high code quality.
• Performance Optimization:
o Identify and address performance bottlenecks in both collection and crediting components.
o Evaluate new technologies for integration into the production environment
• Mentorship and Collaboration:
o Provide day-to-day work direction to other developers on the team
o Mentor junior engineers, providing guidance on technical aspects and best practices.
o Collaborate with cross-functional teams to ensure a cohesive and unified approach to software development.
• Security and Compliance:
o Implement security best practices for both client and upload components.
o Ensure compliance with industry standards and regulations related to application security.
Key Skills
• Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field.
• Proven experience, minimum 12 years, in Java based systems, that span traditional on-prem/server and AWS serverless environments, utilizing tools such as: Kafka, SQS, Spring, Oracle/RDS/SQL, JSON, S3, EKS, EMR, Java, Python, Lambda, Athena, Go-Lang, Prometheus, & Grafana
• Expert understanding of CI/CD principles and tools. GitLab a plus
• Excellent problem-solving and debugging skills.
• Leadership experience, minimum 4 years, in guiding technical decisions and mentoring team members.
• Strong communication and collaboration skills with ability to communicate complex technical concepts and align organization on decisions
• Excellent problem-solving skills with the ability to quickly process complex information and present it clearly and simply
• Able to innovative solutions as an individual or within a group.
Other desirable skills
• Knowledge of networking principles and security best practices.
• Experience with Data Lakes, Spark and Redis a plus
• AWS Architect Certification is a plus
Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.
Work on cutting-edge sports data and analytics. Join a team that's revolutionizing how we understand sports performance with AI and machine learning.
Salary: $90,000 - $110,000
🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.
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