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Senior/Lead Software Engineer - Data Engineering

Karnataka, India (Hybrid)

Senior/Lead Software Engineer - Data Engineering

3 Weeks ago • 4-6 Years • DevOps • Full Stack Development

About the job

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At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.

Nielsen is all about data and technology company, a leader and gold standard in content measurement. We innovate by various methodologies, newer technologies and constantly improve our client experience with our products. Software engineers here at Nielsen get to work on the latest and innovative big data processing technologies in the cloud.

We are looking for a Senior Software Engineer, Ideal candidate would be someone with a passion for Clean Code, Scalable architectures, Test Driven Development and DevOps. Someone who loves getting hands dirty with code and learns everyday.

RESPONSIBILITIES

Hands on developer/lead to work on data modeling, code, and test iteratively on technical solutions for monitoring and analytics requirements.
Coordinates with product and leads development team, leads scrum team/board management.
Implement ETL processes, UI and dashboards for appropriate trends and alerts in BI tools (Superset, Spotfire, QuickSight, etc.) for monitoring.
Plan, develop, execute and maintain automated unit, functional test cases; develop modular, robust, and maintainable automation scripts.
Implement automation in the areas of Cloud resource provisioning, unit testing, code coverage, static code analysis and vulnerability scanning with CI/CD process.
Must have strong analytical and technical skills with passion to deep dive on data in troubleshooting , devise techniques for problem resolution.
Promote a culture of best practices with peer code reviews and extreme ownership for continuous incremental delivery.
Maintain and document standards, best practices, and design/architecture patterns.

QUALIFICATIONS AND SKILLS

4-6 years of experience with ETL automation, SQL and BI Tools experience is a must (Superset, TIBCO Spotfire, etc.)
Programming experience Python/Java and desire to write and review code 70% of time.
Familiarity with relational and big data technology stack such as Postgres, Hadoop and columnar Storage formats Parquet
Familiarity of Linux platforms with knowledge of shell scripting.
Hands-on experience with Spark, Spark SQL, Spark on K8s, M/R Framework and Big Data Technology Stack.
Experience developing cloud-hosted (AWS), containerized applications and services is plus.
AWS Components: EKS, EMR, EC2, S3 storage, Lambda, Relational Database Service, Simple Notification Service (SNS), Elasticache, etc.
Experience with source code control tools. Gitlab experience is a plus.
Knowledge of networking and protocols: HTTP/HTTPS, TLS/SSL/certificates, TCP/IP is plus
Knowledge of CI/CD processes, testing frameworks, practices and tools (Jenkins, jUnit, Terraform, JFrog, Jacoco, SonarQube, etc.) 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.

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