🚀 We're Hiring: Senior Data Engineer – Cloud & Database Deployment📊☁️ Location: Gurugram | Job Type: Full-Time Are you passionate about building scalable data infrastructure in cloud environments? Do you have expertise in PostgreSQL, MySQL, MongoDB, and deploying data solutions on cloud platforms? If so, we want to hear from you! 🔍 About the Role: We’re seeking a motivated Senior Data Engineer with 7–8+ years of experience to design, deploy, and maintain robust data pipelines and cloud-native data solutions. Your work will support cutting-edge AI/ML initiatives, optimize data systems, and ensure seamless data flow for advanced analytics. 🎯 Key Responsibilities: - Develop and maintain scalable data pipelines for batch and real-time processing - Deploy and manage cloud-based data solutions on AWS, Azure, or Google Cloud - Implement and optimize CI/CD pipelines for automated deployment and infrastructure management - Manage relational and NoSQL databases, ensuring performance, backup, and recovery - Oversee server provisioning, deployment, and monitoring of data infrastructure - Collaborate with AI/ML teams to streamline data workflows for model training and inference - Maintain security, data integrity, and compliance standards - Monitor system performance and troubleshoot issues proactively 💡 Ideal Candidate Profile: - 7–8+ years of experience in data engineering and infrastructure deployment - Strong expertise in PostgreSQL, MySQL, and MongoDB management and optimization - Hands-on experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code - Proficiency with CI/CD tools like Jenkins, GitLab, or GitHub - Solid understanding of server/database administration in cloud/hybrid environments - Familiarity with AI/ML data workflows and MLOps is a plus - Strong scripting skills in Python - Excellent communication and problem-solving skills Join us to be part of a dynamic team pioneering data solutions in a cloud-first world! 🚀 share your cv to shilpi.vohra@petonic.in #DataEngineering #CloudComputing #AI #ML #DatabaseManagement #GurugramJobs #HiringNow

We're seeking a highly motivated Senior Data Engineer with 7-8+ years of experience to design, deploy, and maintain robust data pipelines and cloud-native data solutions. In this critical role, you'll support cutting-edge AI/ML initiatives, optimize complex data systems, and ensure seamless data flow for advanced analytics. If you're a hands-on engineer with a passion for building scalable data infrastructure in the cloud and optimizing database performance, we encourage you to apply! Key Responsibilities Data Pipeline Development : Design, develop, and maintain highly scalable and reliable data pipelines for both batch and real-time processing, ensuring data quality and integrity. Cloud Data Solution Deployment : Lead the deployment and management of cloud-based data solutions and services on major cloud platforms such as AWS, Azure, or Google Cloud Platform. CI/CD & Automation : Implement and optimize CI/CD pipelines for automated deployment of data infrastructure, applications, and configurations using infrastructure-as-code principles. Database Management : Administer, manage, and optimize performance for both relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB), ensuring robust backup, recovery, and replication strategies. Infrastructure Oversight : Oversee server provisioning, deployment, configuration, and monitoring of the entire data infrastructure in cloud and hybrid environments. AI/ML Collaboration : Collaborate closely with AI/ML teams to streamline data workflows, optimize data ingestion for model training, and ensure efficient data delivery for model inference. Security & Compliance : Implement and maintain robust security measures, ensure data integrity, and adhere to compliance standards across all data systems and pipelines. Performance Monitoring & Troubleshooting : Proactively monitor system performance, identify bottlenecks, and troubleshoot complex data infrastructure and database-related issues to ensure high availability and reliability. Ideal Candidate Profile Experience : 7-8+ years of progressive experience in data engineering and infrastructure deployment roles. Database Expertise : Strong expertise in database management and optimization for PostgreSQL, MySQL, and MongoDB. This includes performance tuning, indexing, backup/restore, and high availability configurations. Cloud Platforms : Hands-on experience with at least two major cloud platforms (AWS, Google Cloud Platform, or Azure) and proficiency in deploying and managing data services within these environments. Infrastructure as Code : Proven experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Azure Resource Manager). CI/CD Proficiency : Proficiency with CI/CD tools and practices using platforms like Jenkins, GitLab CI/CD, or GitHub Actions. Scripting Skills : Strong scripting skills in Python for automation, data processing, and infrastructure management. Server/Database Administration : Solid understanding of server and database administration principles in cloud and hybrid environments. AI/ML & MLOps : Familiarity with AI/ML data workflows, feature engineering, and MLOps concepts is a significant plus. Soft Skills : Excellent communication, collaboration, and problem-solving skills, with the ability to work effectively in cross-functional teams. (ref:hirist.tech)