Senior Data Engineer - Data Quality at Procter & Gamble Company

Hyderabad, Telangana, India

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Consumer GoodsIndustries

Bachelor’s degree in computer science or related technical field
8+ years of experience working as Software/Data Engineer (with focus on developing in Python, PySpark, Databricks)
Familiarity with open-source libraries and tools for data quality (e.g., Great Expectations, Deequ)
Good knowledge of modern Agile and DevOps practices
Self-motivated with ability to work in multinational teams on global projects

Design, develop, and maintain data quality (DQ) libraries (Python)
Support design, build and optimization of data pipelines to facilitate data processing and analytics
Implement data quality metrics monitoring to ensure compliance with data quality dimensions
Collaborate with data engineers, analysts, and other stakeholders to understand data quality requirements
Evaluate and integrate open-source libraries for data quality into existing frameworks
Help troubleshoot and resolve data-related issues in a timely manner
Document processes, data models, and system architecture to ensure knowledge transfer and compliance
Engineer applications throughout its entire lifecycle from development, deployment, upgrade, and replacement/termination
Ensure that development and architecture aligns to established standards, including modern software engineering practices (CICD, Agile, DevOps)
Build and maintain data quality framework and libraries to ensure the reliability of data
Collaborate closely with developers and analytical teams to improve and enhance end-to-end data quality processing