AWS Database Engineer – Python & Aurora (10 Years ) Bengaluru

Full-Time @Algae Services
  • Manyata tech Park, Bengaluru, Karnataka View on Map
  • Post Date : December 26, 2025
  • Salary: ₹1,500,000.00 - ₹1,800,000.00 / Yearly
  • View(s) 67
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Job Detail

  • Job ID 63034

Job Description

AWS Database Engineer – Python & Aurora

Job ID: 823813

Experience: 10 Years

Salary: ₹15 – 18 LPA

Location: Manyata Tech Park, Bangalore

Role Overview

We are looking for an experienced AWS Database Engineer with strong expertise in Aurora and Python scripting to manage, automate, and optimize cloud-based database environments. The ideal candidate will play a critical role in ensuring database reliability, performance, and scalability while working closely with global onshore teams.

Key Responsibilities

  • Manage, monitor, and maintain AWS-based database environments, primarily Amazon Aurora
  • Develop and maintain Python scripts for database automation, monitoring, and operational tasks
  • Perform backup management, recovery testing, and disaster recovery planning
  • Troubleshoot and resolve complex database performance and availability issues
  • Coordinate with onshore/global teams for requirements gathering, status updates, and issue resolution
  • Ensure high availability, security, and compliance of database systems
  • Participate in continuous improvement initiatives for database operations and automation

Required Skills & Qualifications

  • 10+ years of overall IT experience with strong focus on AWS database services
  • Hands-on experience with Amazon Aurora and AWS RDS
  • Strong Python scripting skills (mandatory)
  • Solid understanding of relational database concepts and operations
  • Experience handling backup, recovery, and DR strategies
  • Excellent communication and collaboration skills to work with global stakeholders
  • Strong analytical and problem-solving abilities

Nice to Have

  • Exposure to multi-cloud environments
  • Familiarity with DevOps tools and CI/CD pipelines
  • Knowledge of database performance tuning and automation frameworks

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