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.
About the role:
Join the team as a Senior Python Software Engineer to design and develop the software used internationally for Television Audience Measurement in TV and Radio markets.
As part of our modernization initiative we are implementing new features into our product. The environment is mainly based on AWS cloud solutions. Python is the language of choice for the development of features and tools for everyday use. Pandas and Spark are the technologies used for data transformation.
Tech stack: Airflow, AWS, Bash, Python, Docker, Kubernetes, Linux, Pandas, Spark, CI/CD, Confluence, GitLab, Jira.
Responsibilities:
Consult with stakeholders to determine the scope of software development projects.
Design, develop, test, and document new software features as per business requirements.
Contribute to the process of migration of the current solutions to the AWS cloud.
Investigate application incidents for missing or incorrect functionality.
Perform code reviews.
Supervise the software development team.
Demonstrate patience and use effective explanations when mentoring junior software developers.
Required competencies:
Strong knowledge of Python.
Experience with Pandas and Spark.
Basic Linux administration skills.
At least intermediate level of English, both written and verbal.
8 years of working experience in a field related to a similar position.
Good communication skills.
Nice to have competencies:
Experience in AWS cloud application development.
Scrum Agile development experience.
Experience in writing Airflow DAGs.
Experience in writing GitLab CI/CD pipelines.
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