Key Responsibilities:
- Design, build, and optimize scalable data pipelines and ETL/ELT workflows for large, complex datasets.
- Design and implement foundational data architecture supporting identity resolution and ID graph systems.
- Develop and enhance systems supporting identity resolution and ID graph construction (data ingestion, normalization, matching, and deduplication).
- Process and unify multi-source datasets (cookies, device IDs, behavioral data, third-party and proprietary data).
- Write effective, testable, and maintainable code using Python and SQL for large-scale data processing.
- Optimize data models, queries, and storage strategies for performance, scalability, and cost efficiency.
- Build and maintain data validation, monitoring, and alerting systems to ensure data quality and reliability.
- Troubleshoot, debug, and improve existing data pipelines and infrastructure.
- Own and drive complex data problems end-to-end, from initial design through production deployment.
- Make and influence key technical decisions related to data architecture, scalability,



and system design.
- Collaborate with data, platform, DevOps, and product teams to deliver scalable, production-ready solutions.
- Translate business and product requirements into practical, performant data solutions.
- Document data pipelines, systems, and workflows clearly.
- Continuously improve system performance, data quality, and pipeline resilience.
- Contribute to building new capabilities that improve how customers understand and leverage data insights

Key Skills:
- 8-12+ years of hands-on experience in data engineering or large-scale data processing.
- Proven experience building and maintaining production-grade data pipelines and distributed systems.
- Demonstrated experience architecting and delivering large-scale data platforms or mission-critical data systems.
- Strong expertise in: SQL and relational databases (Postgres, BigQuery, Redshift, etc.), Python for data processing and anal

📌 Principal Data Engineer (Hyderabad)
🏢 Dun & Bradstreet
📍 Hyderabad