Data Engineer for Cloud Infrastructure
4 weeks ago
- About Nielsen's Audience Measurement Engineering
Our team at Nielsen is working on innovative solutions to measure television viewing in over 30 countries worldwide.
- Key Responsibilities
- Develop, Test, and Support Big Data Apps
- Work closely with Scrum and program teams to ensure project goals are aligned with business objectives
- Design, code, and test complex big data applications deployed on cloud infrastructure
- Plan, develop, and maintain automated unit and functional test cases
- Support product owners in defining future stories and tech leads in defining technical requirements
- Built reusable platform code and components for multiple project teams
- Promote a culture of best practices with peer code reviews and extreme ownership
- Requirements
Here are the key requirements for this role:
- 4-6 years of hands-on software development experience
- Strong cloud implementation expertise in cloud architecture
- Knowledge of storage, network, and compute services
- Ability to provide solutions utilizing best practices for resilience, scalability, cloud optimization, and security
- Extensive programming experience with Java, Scala, Python, and SQL
- Experience with big data processing tools and languages, such as Spark
- Agile scrum experience in application development
- Knowledge of cloud technologies, including EC2, EKS, S3, Lambda, and RDS
- Demonstrated knowledge of CI/CD processes, testing frameworks, and tools
- AWS Certification is a plus
- Strong analytical and technical skills, with a passion for troubleshooting and problem resolution
- Strong verbal and written communication skills
- What We Offer
At Nielsen, we offer a dynamic and supportive work environment, opportunities for career growth and development, and a competitive compensation package.
Original Language: en
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