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 THIS JOB
We are seeking a Sr Data Engineer to join the Campaign Analytics team. In Campaign Analytics, we develop products that measure, analyze, and report on Advertisement Effectiveness.
As a Senior Data Engineer, you will work alongside our product team, data scientists and other engineers to design and build complex data processing workflows. The role entails working with modern query engines and data orchestration tools to process large datasets while applying privacy and security best practices.
If you are passionate about problem solving, enjoy continuous learning, like building new things; while mentoring and guiding others. We want to hear from you!
Our culture is inclusive, growth oriented, and we value a healthy work life balance.
RESPONSIBILITIES
Collaborate with product and data science to clarify requirements and design processing flows. Collaborate in cross-functional teams to implement, test and deploy features. Implement efficient, scalable, robust data pipelines along with automated data validation. Identify potential process improvements and recommend suitable tools and changes to address them Troubleshoot and optimize data pipelines in a distributed environment Develop and maintain good programming standards and practices across the ecosystem. Perform code reviews. Mentor and train junior developers.
QUALIFICATIONS
Bachelors in Computer Science or related field (Masters preferred).
5 - 8 years of professional engineering experience.5 Years with a mainstream programming language (Python, C++, C, Java, etc).
4 years experience with SQL and advanced data systems (Spark, Presto, EMR).
2 years of experience with public cloud technologies (AWS, GCP, Azure).
Experience with popular relational database systems (Postgres, MySQL Mariadb).
Experience writing automated tests. Familiarity with orchestration tools such as Apache Airflow.
Experience with common developer tools (Git, Docker, Gitlab).Experience working in an agile environment. Excellent communication skills.
