Job
Description
OSP India, now part of one.O. OSP India - Hyderabad Private Limited takes a significant step forward in its evolution by becoming part of Otto Group one.O, the new central, high-performance partner for strategy consulting and technology for the Otto Group. This strengthens our mission to deliver innovative IT solutions for commerce and logistics, combining experience, technology, and a global vision to lead the digital future. OSP India’s name transition OSP India will adopt the name Otto Group one.O in the future, following our headquarters' rebranding. We want to assure you that this brand name change will not affect your role, job security, or our company culture. This transition aligns us with our global teams in Germany, Spain, and Taiwan and enhances 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-life balance through adaptable scheduling. Comprehensive Medical Insurance: Coverage for employees and families, ensuring access to quality healthcare. Hybrid Work Model: Blend of in-office collaboration and remote work opportunities, with four days a week in the office.
