Qualification:
- Bachelor’s degree in computer science, information systems, software engineering or a related field (foreign equivalent degree acceptable) with 9+ years of experience in: software development technology.
- 5 years of experience with/in: Git; SQL; Hadoop; Spark in developing distributed processing applications and building applications with immutable infrastructure in the AWS (Amazon Web Services) Cloud with automation technologies like Terraform, Ansible or CloudFormation;
- 3 years of experience with/in: Spark; Python, Test Automation, CICD Pipeline Development
- Experience with DBT Core, Airbyte, Airflow, and Docker
Job Description:
- Design, develop, test and support highly complex software solutions for data driven applications by providing necessary design and technical expertise.
- Understand the big picture in an End-to-End environment and understand upstream and downstream requirements. Adopt standard platform tools for source code management, CICD, Orchestration, monitoring and alerting (gitlab, airflow, jenkins etc).
- Work on AWS cloud infrastructure in a DevOps capacity.
- Participate in technical planning & requirements gathering phases including discovery, design, code, test and documentation. Lead development best practices to guarantee the quality and sustainability of software deliverables.
- Support Testing and UAT phases and participate in Deployment.
- As a Staff Software Engineer on Nielsen Engineering’s OpIntel Team, you will be part of a
- Collaborative group of skilled Software Engineers who deal with a wide variety of Nielsen data from our TV, Digital/Internet, and Radio monitoring business. You will be working closely with offshore team members - mentoring and reviewing their code/design to encourage them to grow in a positive direction through setting a positive example for every step in the software development lifecycle process.
- You will be designing and building complex data-driven applications and processes that help to ensure that Nielsen TV, Digital/Internet, and Radio measuring systems are generating accurate data.
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