Senior Data Engineer
Procter & Gamble2 months ago
Mumbai, IndiaSenior
Responsibilities
- Assemble large, complex data sets that meet functional and non-functional business requirements.
- Design, develop, and implement cloud-based data and analytics platforms and pipelines.
- Acquire, cleanse, transform, and publish data from a wide variety of sources.
- Deliver end-to-end data solutions covering architecture, coding, testing, deployment, and production support.
- Partner with data asset managers, architects, and development leads to ensure data is fit for use and aligned with architecture blueprints.
- Apply coding standards and best practices to build efficient, reusable services and components.
- Design and implement internal process improvements.
- Lead technical design discussions, drive solution decisions, and serve as a hands-on technical lead across global, cross-functional teams.
- Apply data access, approval, and governance concepts for AI-native operating models.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical field, or equivalent practical experience.
- At least 7 years of experience in data engineering.
- Strong hands-on experience building and delivering big data solutions with Spark and Databricks.
- Experience designing and developing end-to-end data solutions, including architecture, coding, testing, deployment, and production support.
- Strong knowledge of data warehousing, lakehouse, data mesh, data quality, and semantic layer design.
- At least 3 years of cloud technology experience with Azure Cloud or Google Cloud, including software engineering experience such as API development.
- Fluency in Python, PySpark, and SQL.
- Working knowledge of LLM orchestration frameworks such as LangGraph, LangChain, or equivalent, and context engineering for data-facing agents.
- Experience with Airflow, Azure Data Factory, CI/CD pipelines, unit testing, API integrations, and modern software engineering practices.
- Understanding of AI-native operating model concepts and their application to data access and approval architecture.
- Ability to lead technical design discussions and influence solution decisions within cross-functional and global teams.
- Breadth of applied IT skills across at least two IT job profiles, including relevant risk management, IT operations, IT project management, and enterprise architecture skills.
- Experience in at least two relevant roles and in managing or influencing people or organizations to achieve significant IT outcomes.
- Strong communication, collaboration, engineering excellence, code review, testing, automation, and continuous improvement skills.
Benefits
- Continuous mentorship from peers and managers, including formal training and day-to-day guidance.
- Dynamic and encouraging work environment with support for employee initiative, agility, and work-life balance.
- Full-time position located at the Mumbai General Office.
Tech Stack
Categories
Data Engineering
About Procter & Gamble
Procter & Gamble is a global consumer packaged goods company that makes and sells household, personal care, and hygiene products through retailers and e-commerce. Its portfolio includes brands such as Pampers, Tide, Gillette, Oral-B, and Pantene, serving consumers worldwide. Founded in 1837 and headquartered in Cincinnati, Ohio, P&G is a public company listed on the NYSE under the ticker PG.