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Nielsen

Engineering Manager - Sports

Posted 2 Days Ago
Be an Early Applicant
Hybrid
Bengaluru, Karnataka
Mid level
Hybrid
Bengaluru, Karnataka
Mid level
The Engineering Manager is responsible for overseeing architecture and development standards for Nielsen Sports in India, ensuring that development work supports scalability and meets security standards. This role involves managing teams, collaborating on employee-related matters, and ensuring prioritization of technical work in accordance with product needs.
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Scope/ General Profile 


Responsible for ensuring the architecture, deployment and development standards are in place to build, maintain and support the development of all Nielsen Sports development work done in India. Working with the Director of Data Engineering to support people management responsibilities, this will include collaborating on local HR, salary and benefit fairness and leveling and team mobility.


Business Expertise

Ensuring all development work done by the teams in the reporting line is scalable to specified traffic levels, meets Nielsen Security standards and best industry practicesEnsuring development work is of a suitable standard based on the lifecycle and requirements of the product and customers they support. Ensuring that engineering teams support their components in development using appropriate monitoring and alerting techniques to quickly and efficiently resolve any issues in productionSupporting engineering teams as and when necessary to ensure the technical work necessary to maintain the platform is suitably prioritized by the product team with the value and need for the work sufficiently communicated.

Functional knowledge

  • Data Engineering
  • Kafka
  • AWS / Cloud Computing
  • AWS RDS and Cloud Computing
  • Agile processes and development, Lean / Scrum

Problem Solving

  • Directing teams to follow the software development process based on agile principles
  • Teams make small frequent releases of valuable scope to the business
  • Ensuring engineering team are working with product teams on clearly prioritized work
  • Ensuring the value of the work and its impact on the business is understood by the teams and communicated to stakeholders

Top Skills

AWS
Aws Rds
Cloud Computing
Data Engineering
Kafka

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