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Senior Cloud Data Architect

2 weeks ago

Gurgaon, Haryana, India beBeeDataEngineer Full time ₹ 20,00,000 - ₹ 25,00,000
Cloud Data Engineer Opportunity

We are seeking a highly motivated and experienced Cloud Data Engineer to design, deploy, and maintain robust data pipelines and cloud-native solutions.

Key Responsibilities :

  • Data Pipeline Development : Design, develop, and maintain scalable and reliable data pipelines for both batch and real-time processing, ensuring data quality and integrity.
  • Cloud 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.
  • CICD & Automation : Implement and optimize CICD pipelines for automated deployment of data infrastructure, applications, and configurations using infrastructure-as-code principles.
  • Database Administration : 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.
  • AiML 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.
  • Cloud Platforms : Hands-on experience with at least two major cloud platforms (AWS, Google Cloud Platform, or Azure).
  • Infrastructure as Code : Proven experience with infrastructure-as-code tools.
  • CICD Proficiency : Proficiency with CICD tools and practices.
  • Scripting Skills : Strong scripting skills in Python.
  • Server Database Administration : Solid understanding of server and database administration principles.
  • AiML MLOps : Familiarity with AI/ML data workflows is a plus.
  • Soft Skills : Excellent communication, collaboration, and problem-solving skills.

We encourage you to apply if you have a passion for building scalable data infrastructure in the cloud and optimizing database performance.