Nielsen, a global leader in media measurement and analytics, is seeking a Senior Data Engineer to join their technology team. This role presents an exciting opportunity to work at the forefront of media measurement technology, helping to power better media futures through data-driven insights.
The position combines big data processing, cloud architecture, and distributed systems expertise, requiring proficiency in technologies like Apache Spark, Scala, and AWS. As a Senior Data Engineer, you'll be responsible for building scalable, reliable, and cost-effective solutions that handle massive datasets and complex analytics pipelines.
The role offers a unique blend of technical challenges and leadership opportunities. You'll work on implementing end-to-end solutions in big data analytics, while also mentoring junior team members and collaborating with data scientists to translate complex methodologies into engineering solutions. The position requires 4-8 years of experience, with at least 3 years focused on big data processing using Apache Spark.
Nielsen offers a hybrid work environment and the chance to work with cutting-edge technologies. You'll be part of a dynamic team that values continuous learning and innovation. The company's strong legacy in media measurement, combined with its forward-thinking approach to technology, makes this an ideal opportunity for a senior engineer looking to make a significant impact in the media analytics space.
Key technical requirements include expertise in Java/Scala, Big Data technologies (Hadoop, Spark, Spark SQL), cloud platforms (preferably AWS), and various data storage solutions (PostgreSQL, Cassandra, Elasticsearch). The role also demands strong problem-solving abilities and excellent communication skills, as you'll be working closely with product owners and cross-functional teams.
This position is perfect for someone who enjoys tackling complex technical challenges while having the opportunity to mentor others and influence technical direction. You'll be at the intersection of big data, cloud computing, and media analytics, helping Nielsen maintain its position as a leader in audience measurement and analytics.