Software Engineer (Python & Cloud/Data Platform) at P&G

Job description

Job Location HYDERABAD OFFICE APAC PSC GDOP Job Description P&G was founded over 180 years ago as a simple soap and candle company. Today, we're the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We've spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams have helped us grow into a global company that is governed responsibly and ethically, that is open and visible, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters. Dedication from Us: You'll be at the core of breakthrough innovations, be given exciting assignments, lead initiatives, and take ownership and responsibility, in creative workspaces where new insights thrive. All the while, you'll receive outstanding training to help you become a leader in your field. It is not just about what you'll do, but how you'll feel: encouraged, valued, purposeful, challenged, heard, and inspired. What we Offer: Continuous mentorship – you will collaborate with peers and receive both formal training as well as day-to-day mentoring from your manager dynamic and encouraging work environment– employees are at the centre, we value every individual and support initiative, promoting agility and work/life balance. We are seeking a highly skilled and motivated Software Engineer (Python & Cloud/Data Platform) to join our engineering team . This role is central to developing, enhancing, and maintaining robust Python-based solutions, while also ensuring their efficient deployment, scalability, and operational health through modern DevOps practices. You will leverage your expertise in Python to build and optimize critical services, integrate with data orchestration tools like Airflow, utilize Spark for data processing, and deploy applications on Azure using Docker and Kubernetes. This is an exciting opportunity for a self-motivated engineer who thrives on solving complex technical challenges, driving innovation, and delivering high-impact global projects as part of a collaborative team. Responsibilities: Core Python Development: Design, develop, test, and deploy high-quality, scalable, and maintainable Python applications and services for our core business functions. Data Integration & Processing: Develop and optimize Python code for data ingestion, transformation, and processing, utilizing Apache Spark (e.g., PySpark) for large-scale data manipulation and integrating with data pipelines orchestrated by Apache Airflow. API Development: Build and maintain robust RESTful APIs and microservices in Python to support various application needs and integrations. Cloud Deployment & Infrastructure: Work closely with platform teams to define and implement application deployment strategies on Azure, leveraging Docker for containerization and Kubernetes for orchestration. Operational Excellence: Implement effective monitoring, logging, and alerting for Python applications and related infrastructure to ensure high availability, performance, and quick issue resolution. Collaboration: Collaborate extensively with product managers, data scientists, and other engineering teams to understand requirements, define technical solutions, and ensure successful project delivery. Best Practices: Contribute to setting and enforcing coding standards, architectural patterns, and engineering best practices, including code reviews and documentation. Troubleshooting & Support: Provide expert-level support for Python applications, diagnosing and resolving complex technical issues in production environments. Innovation: Stay current with emerging technologies, particularly in Python, data processing, cloud services, and DevOps, to continually improve our engineering practices and solutions. Ideal Candidate Profile: Primary Skill: Deep Python Expertise: Extensive pro