Nielsen is a global leader in audience measurement, data and analytics, shaping the future of media. Measuring behavior across all channels and platforms to discover what audiences love, we empower our clients with trusted intelligence that fuels action.

Responsibilities:
Build and test Cloud-based applications for new and existing backend systems to help
facilitate development teams to migrate to the cloud with an emphasis on quality, best--
practice coding standards, and cost-effectiveness.
Build platform reusable code and components that could be used by multiple project teams.
Provide cloud integration development support to various project teams.
Leverage modern design patterns and architectural principles to build a platform of reusable
code and components that can be used across projects and teams.
Write both unit and integration tests, and develop automation tools for daily tasks.
Support product owner in defining future stories and tech lead in defining technical
requirements for new initiatives.
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 cross-functional teams and stakeholders to align development objectives
with broader business goals.
 

Requirements:
4-8 years of hands-on software development with a bachelor's degree in computer science,
and engineering.
Must have strong cloud Implementation expertise in cloud architecture.
Must have very good knowledge of storage, network, and computing services.
Have sound knowledge of multi-zone, region-based designs.
Must have the ability to provide solutions utilizing best practices for resilience, scalability,
cloud optimization, and security.
A quick learner, who can pick up new technologies, program languages, and frameworks in a
short period.
Experience in software development using programming languages and tools/services:
Python or Scala and strong in SQL.

• Total 5+ years of experience in Data Engineering

• Minimum 4+ years of experience in Spark + Python

• Prior experience in a SaaS or high-growth tech-first product company.

• B.Tech from a Tier 1 college.

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