Senior Data Engineer

At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed. We champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future. 
ABOUT THIS JOBWe 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.

• 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 themTroubleshoot 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.