Procter & Gamble—Software Engineer (Python & Cloud/Data Platform)

Job description

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 professional experience in designing, developing, and deploying complex applications using Python. - Data Processing: Solid understanding and practical experience with Apache Spark (especially PySpark) for data processing and analysis. - Data Orchestration: Hands-on experience with Apache Airflow for building and managing data pipelines. - Cloud Platform: Proven experience with Azure cloud services, particularly those relevant to application deployment, data, and compute. - Containerization & Orchestration: Strong practical experience with Docker for containerizing Python applications and deploying to Kubernetes. - Understanding of Airflow and modifying the dags/writing new dags for orchestration. - Backend Development: Experience with building scalable backend services, APIs, and microservices in Python. - Problem-Solving: Excellent analytical and problem-solving skills, with a keen eye for detail and software quality. - Collaboration: Collaborative, proactive, and able to work effectively in a cross-functional team environment, communicating complex technical concepts clearly. - Agile Methodologies: Experience working in an Agile development environment. Job Qualifications - Bachelor's Degree in Computer Science, a related technical field, or equivalent practical experience - 4+ years of proven professional experience in writing and deploying high-quality Python code for production applications. - Hands-on experience with PySpark for large-scale data processing. - Practical experience implementing and managing data pipelines using Apache Airflow. - Experience working with Databricks - Proficiency with Docker for containerizing applications and Kubernetes for orchestration and deployment. - Experience working with Azure cloud services - Strong verbal, written, and interpersonal communication skills. - A strong desire to produce high-quality software through cross-functional teamwork, testing, code reviews, and other standard methodologies. - Nice to have good understanding of application deployment through CICD. About Us We produce globally recognized brands, and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders can lead with courage the vast array of brands, categories, and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide. Visit http://www.pg.com to know more. We are an equal-opportunity employer and value diversity at our company. We do not discriminate against individuals based on race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor. At P&G, the hiring journey is personalized every step of the way, thereby ensuring equal opportunities for all, with a strong foundation of Ethics & Corporate Responsibility guiding everything we do. All the available job opportunities are posted either on our website - pgcareers.com, or on our official social media pages, for the convenience of prospective candidates, and do not require them to pay any kind of fees towards their application.” Job Schedule Full time Job Number R000159628 Job Segmentation Experienced Professionals Skills: python, apache spark, azure, kubernetes, pyspark, apache airflow, data processing, backend development, restful api development, microservices, databricks, devops, cloud deployment, monitoring and logging, code review, agile, problem solving, cross-functional collaboration, cicd, technical documentation