Python Developer

Job Description

Job_Description":" OSP India, now part of one.O. OSP India - Hyderabad Private Limited takes a significant step forwardin its evolution by becoming part of Otto Group one.O, the new central,high-performance partner for strategy consulting and technology for the OttoGroup. This strengthens our mission to deliver innovative IT solutions forcommerce and logistics, combining experience, technology, and a global visionto lead the digital future. OSP Indianame transition OSP India will adopt the name Otto Group one.O in the future, followingour headquarters rebranding. We want to assure you that this brand name changewill not affect your role, job security, or our company culture. Thistransition aligns us with our global teams in Germany, Spain, and Taiwan andenhances our collaboration moving forward Job Overview:We are seeking a skilled and experienced Senior Python Developer with strong expertise in Google Cloud Platform (GCP), data analytics, and infrastructure automation using Terraform. The candidate will play a key role in building scalable data solutions, implementing secure cloud services, and driving actionable insights through analytics. Requirements Design, develop, and maintain scalable Python applications for data processing and analytics. Utilize GCP services including IAM, BigQuery, Cloud Storage, Pub/Sub, and others. Build and maintain robust data pipelines and ETL workflows. Collaborate with analytics teams to transform data into valuable business insights. Develop and manage infrastructure using Terraform (IaC). Ensure data quality, integrity, and governance across all systems. Participate in architectural decisions, code reviews, and agile ceremonies. Required Skills and Experience: 5 to 10 years of hands-on experience with Python development. Proficient in the Pandas library for data manipulation and analysis. Strong working knowledge of GCP (especially IAM, BigQuery, Cloud Functions, Cloud Storage). Experience in designing and deploying data analytics and ETL pipelines. Proficiency with Terraform and Infrastructure as Code practices. Strong analytical skills and ability to derive insights from large datasets. Understanding of best practices around data quality, security, and compliance. Preferred Qualifications: Experience with MongoDB is an advantage. GCP Certification (e.g., Professional Data Engineer or Cloud Architect). Familiarity with Docker and Kubernetes. Exposure to CI/CD tools and DevOps practices. Strong collaboration and communication skills. Benefits Flexible Working Hours: Support for work-lifebalance through adaptable scheduling. Comprehensive Medical Insurance: Coverage foremployees and families, ensuring access to quality healthcare. Hybrid Work Model: Blend of in-officecollaboration and remote work opportunities, with four days a week in theoffice.