Job Description Key Responsibilities:
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- Build, and optimize scalable data pipelines and ETL/ELT workflows for large, complex datasetsn
- Design and implement foundational data architecture supporting identity resolution and ID graph systemsn
- Develop and enhance systems supporting identity resolution and ID graph construction (data ingestion, normalization, matching, and deduplication)n
- Process and unify multi-source datasets (cookies, device IDs, behavioral data, third-party and proprietary data)n
- Write efficient, testable, and maintainable code using Python and SQL for large-scale data processingn
- Optimize data models, queries, and storage strategies for performance, scalability, and cost efficiencyn
- Build and maintain data validation, monitoring, and alerting systems to ensure data quality and reliabilityn
- Troubleshoot, debug, and improve existing data pipelines and infrastructuren
- Own and drive complex data problems end-to-end, from initial design through production deploymentn




- Make and influence key technical decisions related to data architecture, scalability, and system designn
- Collaborate with data, platform, DevOps, and product teams to deliver scalable, production ready solutionsn
- Translate business and product requirements into practical, performant data solutionsn
- Document data pipelines, systems, and workflows clearlyn
- Continuously improve system performance, data quality, and pipeline resilience.n
- Contribute to building new capabilities that improve how customers understand and leverage data insights.n

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- 8-12+ years of hands-on experience in data engineering or large-scale data processingn
- Proven experience building and maintaining production-grade data pipelines and distributed systemsn
- Demonstrated experience architecting and delivering large-scale data platforms or mission critical data systemsn
- Robust expertise in: o SQL and relational databases (Postgre

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