We’re Hiring – Video Editor & Graphic Designer (Full-Time, Anand, Gujarat) Park Universal Private Limited (ERP Consulting & Automation Company) is looking for a creative professional to join our team in Anand . What You’ll Do Design brochures, banners, logos & marketing creatives in CorelDRAW Create engaging Reels for social media platforms Edit YouTube videos and product promos Collaborate with the marketing team on branding & campaigns What We’re Looking For Strong skills in CorelDRAW (mandatory) Ability to edit Reels & YouTube videos with creativity 1–3 years of experience in design & video editing (preferred) A portfolio showcasing your design & editing work Location: Anand, Gujarat (Work from Office) Company: Park Universal Private Limited Job Type: Full-Time If you are passionate about design and video editing and want to grow with a fast-paced tech company, we’d love to hear from you. Tag or share with someone who might be a great fit.
Job Description - Senior Python Backend Developer Requirements: 3+ years of hands-on experience developing production-grade Python applications. Demonstrated excellent communication skills with ability to articulate complex technical concepts to both technical and non-technical stakeholders. Strong mastery of Core Python, advanced data structures, OOPs principles, exception handling, and logical problem-solving with proven ability to optimize existing codebases. 3+ years of professional experience with Python frameworks, with expertise in FastAPI (or substantial experience with Flask/Django). Advanced knowledge of REST API development, API architecture patterns, and API security (JWT/OAuth/API key management). Proven experience designing and working with both SQL databases (MySQL/PostgreSQL) and NoSQL databases (MongoDB/Firestore), including complex schema design and query optimization. Solid understanding of cloud platforms (GCP or AWS) with hands-on experience in deployments and infrastructure management. Expert-level proficiency with Git, branching strategies, code reviews, and collaborative development workflows. Deep understanding of performance optimization, system design principles, and writing clean, scalable, efficient code. Fluent English communication — able to explain complex ideas clearly and mentor junior developers. Responsibilities: Lead the development, testing, and maintenance of high-quality Python applications using FastAPI (or Flask/Django) with emphasis on best practices and architectural patterns. Design and implement robust RESTful APIs with deep understanding of request/response cycles, comprehensive data validation, error handling, and multi-layered authentication mechanisms. Architect and optimize database solutions using SQL (MySQL/PostgreSQL) and NoSQL (MongoDB/Firestore), including advanced schema design, indexing strategies, and query optimization. Build and maintain scalable, maintainable backend components with strong focus on performance, high availability, security, and fault tolerance. Collaborate with cross-functional teams to understand complex requirements and translate them into elegant, efficient technical solutions. Write production-grade, reusable, testable, and highly efficient code adhering to established best practices, coding standards, and architectural guidelines. Conduct thorough debugging, troubleshooting, and performance tuning; identify and resolve bottlenecks in production systems. Integrate with diverse data sources and third-party services; implement reliable data pipelines and service integrations. Preferred: Demonstrated experience with Google Cloud ecosystem (BigQuery, Dataflow, Notebooks, Cloud Functions, Pub/Sub) for building data pipelines and analytics solutions. Deploy and manage applications in cloud environments (GCP/AWS); work with cloud storage, logging, monitoring, and auto-scaling configurations. Utilize version control tools (Git/Bitbucket) and collaborate effectively using branching strategies and code review processes. Build and maintain data pipelines using Dataflow/Apache Beam and BigQuery for large-scale data processing. Lead or contribute to microservices architecture initiatives; design services for independent deployment and scalability. Leverage caching layers (Redis), search engines (Elasticsearch), and message queues (Pub/Sub, RabbitMQ, Kafka) to build high-performance systems. Implement containerization using Docker and establish or improve CI/CD pipelines for automated testing and deployment. Utilize data manipulation libraries (Pandas/NumPy) for data analysis and transformation tasks at scale. Mentor junior developers and conduct code reviews to ensure code quality and knowledge sharing.