Job Description As a Sr. Engineer, you will be responsible for designing, developing, and maintaining high-quality, large scale data platforms. You will collaborate with cross-functional teams to define, design, and ship new features, while also ensuring the performance, quality, and responsiveness of our data pipelines and applications. Key Responsibilities Design, develop and maintain scalable and robust data pipelines and systems. Architect and implement solutions for managing & processing large-scale datasets with fast refresh cycles, ensuring high performance, scalability & accuracy. Write clean, maintainable & extensible code following best practices & standards. Conduct design and code reviews to ensure high-quality deliverables and adherence to best practices. Ensure robust data governance by implementing and maintaining frameworks for data lineage, quality, traceability and consistency across systems. Troubleshoot and resolve complex issues, ensuring reliability, availability, observability, minimal downtime and SLA compliance. Collaborate with cross-functional teams, including data scientists, engineers & product managers, to translate business requirements into technical solutions. Stay up-to-date with emerging technologies, including advancements in GenAI & leverage AI-driven tools, frameworks & LLMs to augment solutions & skill-sets. Mentor and guide junior engineers, fostering a culture of learning, innovation & continuous improvement within the team. Skills and Expertise Advanced programming skills in Python, Java, or Scala, with strong understanding of algorithms, data processing, stream analytics and event-driven architectures. ​​Experience in working with distributed data systems such as Spark or Flink. Proven experience in designing, building and maintaining scalable RESTful APIs and services, along with solid understanding of backend patterns and frameworks. Experience with one or more Cloud platforms (AWS, Azure, GCP). Deep understanding of distributed storage systems (HDFS, S3), modern file formats (Parquet, Arrow) and Lakehouse architectures (Delta Lake, Paimon) Knowledge of database systems, including NoSQL stores (Cassandra, MongoDB), relational databases (Postgres, MySQL) and data orchestration tools (Airflow). Expertise in designing, building and tuning systems for high throughput, low latency, resilient and cost-efficiency architectures. Working proficiency with Agile development methodologies and CI/CD practices. Familiarity with containerization (Docker, K8s) and Dataviz tools is good to have. Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 4 to 6 years of professional experience in Backend and Data Engineering, with hands-on expertise in managing large-scale datasets and real-time event processing. Excellent problem-solving skills, resourcefulness & creative thinking to work effectively in a dynamic and fast-paced environment. Adept at articulating complex technical concepts and solutions, ensuring clarity and alignment across diverse technical and non-technical audiences.

About Nielsen

Nielsen shapes the world’s media and content as a global leader in audience insights, data and analytics. Through our understanding of people and their behaviors across all channels and platforms, we empower our clients with independent and actionable intelligence so they can connect and engage with their audiences—now and into the future. Nielsen operates around the world in more than 55 countries. Learn more at http://nlsn.co/6006JMfty and connect with us on social media (LinkedIn, Twitter, Facebook and Instagram).