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Data Engineer

Nielsen provides powerful insights that power media future by capturing audience engagement with content across multiple platforms worldwide.
Data
Senior Software Engineer
Hybrid
5+ years of experience
Enterprise SaaS
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Description For Data Engineer

Nielsen, a global leader in media measurement and analytics, is seeking a talented Data Engineer to join their OpIntel team. This role combines the excitement of working with big data and the challenge of supporting audience measurement across 30+ countries. As a Data Engineer, you'll be at the forefront of designing and implementing data solutions using cutting-edge technologies like AWS, Python, and Spark.

The position offers a unique opportunity to work on Nielsen's Audience Measurement Engineering platforms, which are crucial for measuring television viewing worldwide. You'll be part of a collaborative team dealing with diverse data sources from TV, Digital/Internet, and Radio monitoring businesses. The role requires both technical expertise in data engineering and the ability to understand complex business requirements.

Your responsibilities will span from designing data architectures to implementing ETL pipelines and working with cloud infrastructure. You'll be working in a hybrid environment, collaborating with both local and offshore team members. The ideal candidate should have a strong foundation in computer science, extensive experience with Python and SQL, and proven expertise in AWS services.

This role is perfect for someone who is passionate about data engineering, enjoys solving complex problems, and wants to make an impact in the media measurement industry. You'll be joining a company that values innovation, excellence, and provides opportunities to work with cutting-edge technologies while contributing to solutions that power the future of media measurement.

Last updated 6 months ago

Responsibilities For Data Engineer

  • Design, develop, test and support complex data engineering software solutions for analytical data storage
  • Understand End-to-End data environment, upstream system data and downstream consumption requirements
  • Adopt standard platform tools for source code management, CICD, Orchestration, monitoring and alerting
  • Work on AWS cloud infrastructure in a DevOps capacity
  • Participate in technical planning & requirements gathering phases
  • Demonstrate development best practices
  • Support Testing and UAT phases and participate in Deployment
  • Work with offshore team members in the software development lifecycle process
  • Design and build complex data-driven applications for Nielsen TV, Digital/Internet, and Radio measuring systems

Requirements For Data Engineer

Python
  • Bachelor's degree in computer science, information systems, software engineering or related field
  • 5 years of experience in software development using Python and SQL for data pipelines/ETL/ELT
  • 3 years of experience with AWS DevOps, Python, Spark
  • Experience with Test Automation and CICD Pipeline Development
  • Experience with AWS (DevOps - EMR, EC2)

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