Read by 7 job seekers.

Bengaluru, India

At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed. We champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future.

About the role

As a Software Engineer, you will be working as part of a DevOps team focusing on analyzing, developing, testing, and supporting Big Data applications.

Your primary objective is to ensure project goals are achieved and are aligned with business objectives. You will also work closely with your Scrum team and program team to test, develop, refine and implement quality software in production via standard Agile methodologies

Responsibilities

Hands on developer to design, code, and test iteratively to support complex big data applications deployed on Cloud Infrastructure (AWS).

Plan, develop, execute and maintain automated unit, functional test cases; develop modular, robust, and maintainable automation scripts to integrate with CICD process.

Must have strong analytical and technical skills with passion to deep dive on data in troubleshooting, devise techniques for problem resolution.

Support product owner in defining future stories and tech lead in defining technical requirements for new initiatives

Build platform reusable code and components that could be used by multiple project teams.

Promote a culture of best practices with peer code reviews and extreme ownership for continuous incremental delivery.

Collaborate with cross-functional teams and stakeholders to align development objectives with broader business goals

Estimated Salary range:

Our salary intelligence, powered by our AI algorithms, has calculated an estimated range for this position between $5,000 - $10,000 . Please note that the actual salary for this position may vary, as it is dependent on various factors including but not limited to experience, location, and market dynamics.

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