Hyderabad Telangana Principal data engineer Jobs – 282 Open Jobs Today

Principal Data Engineer (R-19440)
Dun & Bradstreet —Hyderabad, Telangana
- Full-time
- Hybrid work
- System design
- Databases
- SQL
Quick apply
10d
Principal Data Engineer
Optum —Hyderabad, Telangana
- Full-time
- Azure
- DevOps
- SQL
- Health insurance
4d
Principal Data Engineer
Amgen —Hyderabad, Telangana
- Azure
- Public speaking
- SQL
Principal Engineer
AutoRABIT Holding Inc. —Hyderabad, Telangana
- ₹75,00,000 - ₹90,00,000 a year
- Full-time
- Salesforce
- DevOps
- System design
Quick apply
Principal Engineer - Data Engineering
Freshworks —Hyderabad, Telangana
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
Quick apply
Databricks - Principal Data Engineer
NTT Ltd —Hyderabad, Telangana
- Azure
- Computer Science
- Master's degree
17h
Principal Data Engineer
iCims —Hyderabad, Telangana
- Full-time
- Hybrid work
- Computer Science
- Java
- Databases
Deputy Director - SWE & App Arch Sr. Principal Engineer
PepsiCo —Hyderabad, Telangana
- Remote
- Azure
- Doctoral degree
- Computer Science
4d
(Senior/Principal/Architect) Data Engineer
Next Quarter —Hyderabad, Telangana
- Azure
- Computer Science
- Salesforce
Principal Data Engineer- Hyderabad (Hybrid)
サイネオス・ヘルス —Hyderabad, Telangana
- Azure
- Computer Science
- DevOps
Principal Data Engineer
iCIMS Talent Acquisition —Hyderabad, Telangana
- Full-time
- Hybrid work
- Computer Science
- Java
- Databases
SWE - Assoc Principal Engineer
PepsiCo —Hyderabad, Telangana
- Remote
- Azure
- Computer Science
- Java
Principal Data Engineer
Microsoft —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- DevOps
14d
SWE & App Arch Assoc Principal Engineer
PepsiCo —Hyderabad, Telangana
- Remote
- Azure
- Engineering
- Java
Principal Engineer
TJX Companies —Hyderabad, Telangana
- Full-time
- Azure
- Oracle
- Master's degree
Principal Applications Dev Engineer
ServiceNow —Hyderabad, Telangana
- Online application
- DevOps
- Master's degree
- Databases
Quick apply
Systems Software Principal Engineer
TTEC —Hyderabad, Telangana
- Oracle
- Computer Science
- Bachelor's degree
- Paid time off
Quick apply
1d
Principal Engineer
WSA APAC —Hyderabad, Telangana
- Azure
- Computer Science
- DevOps
Quick apply
AVP, Principal Software Engineer (L11)
Synchrony —Hyderabad, Telangana
- Azure
- Computer Science
- Master's degree
Principal Data Architect
TJX Companies —Hyderabad, Telangana
- Full-time
- Azure
- English
- Databases

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Principal Data Engineer (R-19440)

Dun & Bradstreet -
Hyderabad, Telangana

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Job details

Full-time
10 days ago

Qualifications

Jira
CI/CD
Power BI
Data modelling
Kubernetes
Relational databases
R
System design
Git
Google Cloud Platform
Tableau
Databases
SQL
AWS
Docker
Confluence
PostgreSQL
Distributed systems
Continuous integration
GitHub
Agile
S3
Martech
Data visualization
Redshift
AI
RDS database
Python
Debugging

Full job description

We are seeking an experienced Principal Data Engineer to help build the next generation of our identity graph and data platform. This role is focused on designing, developing, and optimizing large-scale data pipelines and systems that ingest, process, and unify complex datasets from diverse sources (web, mobile, AdTech, government, and proprietary data). This is a highly hands-on, technical role for someone who can quickly understand existing systems, operate independently, and deliver high-quality solutions at scale. The ideal candidate is deeply analytical, detail-oriented, and experienced with building performant data pipelines and systems handling billions of records.

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 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

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 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.

Preferred:

Experience with identity graphs, entity resolution, or record linkage systems.
Background in AdTech, digital identity, cookies, or audience data platforms.
Experience with real-time or streaming data systems.
Familiarity with data quality, observability, and monitoring frameworks.
Experience with data visualization tools (Looker, Tableau, Power BI).
Knowledge of data privacy, compliance, and governance considerations.
Experience with modern data platforms such as Snowflake and Databricks.
Exposure to AI/ML technologies, including experience working with or integrating agentic frameworks.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please visit https://bit.ly/3LMn4CQ.

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