Nielsen is seeking a technical and strategic Senior Engineering Manager to lead our Data Engineering teams within the Digital & AI organization. This role is critical for driving the development of high-scale data pipelines and measurement solutions, including our Streaming+ Infrastructure and the Panelist Intelligence Engine (PIE).
The ideal candidate will oversee the end-to-end data lifecycle—from ingestion and processing to validation and reporting—ensuring the highest standards of data accuracy and platform integrity for our global digital measurement products.
Key Responsibilities
Leadership & Strategy
- Lead and mentor high-performing engineering teams, fostering a culture of technical excellence, automation, and continuous improvement.
- Own the Tech Roadmap and long-term planning for data engineering workstreams, ensuring alignment with product goals and business efficiency initiatives.
- Partner closely with Product Management (Head of Streaming+ Infrastructure)
and Data Science to define system requirements for automated panel data processing and eligibility.
- Manage resource bandwidth and prioritize quarterly planning integrity over ad-hoc requests to ensure project delivery.
Technical Execution
- Oversee the architecture and scaling of data pipelines using technologies like Spring Boot, ClickHouse, OpenSearch, and Logstash.
- Drive the transition toward automated, longitudinal data processing to replace deterministic manual processes.
- Ensure robust data validation across complex event streams, batch jobs, and downstream reporting dashboards.
- Implement rigorous performance standards and "tech excellence" line items, such as Cloud Cost Optimization and SEV-1 Reduction targets.
- Resolve critical technical blockers related to data schemas, device-process date misalignment, and international market integrations.
- Implement and oversee ETL job monitoring and performance optimization for critical data pipelines.
Qualifications
Technic
📌 Engineering Manager (Bengaluru)
🏢 The Nielsen
📍 Bengaluru
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