Key Responsibilities:

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 Requirements:

~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: o SQL and relational databases (Postgres, BigQuery, Redshift, etc.) Python for data processing and analysis

~ Experience with Goog

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