Actively Hiring Urgent Opening Direct 1-Click Apply Check Your Resume Match Score
Scan your resume against ATS criteria for this Principal Data Engineer role at Dun & Bradstreet India.
- 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 efficient, 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.
- 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 Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Functions) and/or AWS (S3, Redshift, EMR, RDS)
- Experience working with large-scale datasets (hundreds of millions to billions of records)
- Strong understanding of data modeling, partitioning, indexing, and query optimization
- Experience with distributed data processing and parallelization techniques
- Experience moving large volumes of data across systems and architectures
- Familiarity with CI/CD, containerization, and orchestration tools (Docker, Kubernetes, GitHub Actions, etc.)
- Strong debugging and troubleshooting skills in complex data environments
- Experience with version control (Git) and Agile tools (Jira, Confluence, etc.)
- Highly analytical with strong attention to detail and a data-driven mindset
- Ability to hit the ground running, quickly understand systems, and deliver independently
- Comfortable working in a remote, fast-paced, and collaborative environment
- Proven ability to drive system design and implementation.
Key Requirements & 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 analysis
- Experience with GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Functions) and/or AWS (S3, Redshift, EMR, RDS)
- Experience working with large-scale datasets (hundreds of millions to billions of records)
- Strong understanding of data modeling, partitioning, indexing, and query optimization
- Experience with distributed data processing and parallelization techniques
- Experience moving large volumes of data across systems and architectures
- Familiarity with CI/CD, containerization, and orchestration tools (Docker, Kubernetes, GitHub Actions, etc.)
- Strong debugging and troubleshooting skills in complex data environments
- Experience with version control (Git) and Agile tools (Jira, Confluence, etc.)
- Highly analytical with strong attention to detail and a data-driven mindset
- Ability to hit the ground running, quickly understand systems, and deliver independently
- Comfortable working in a remote, fast-paced, and collaborative environment
- Proven ability to drive system design and implementation
Frequently Asked Questions
How to apply for Principal Data Engineer at Dun & Bradstreet India?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
12+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
Similar Openings
Explore related active roles in data_engineering
data_engineeringFull-timeRemote
data_engineeringFull-time
data_engineeringFull-timeRemote
Principal Data Engineer
Dun & Bradstreet India · Hyderabad
