Principal AWS Data Engineer Full time

Centroid Systems

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profile Job Location:

Hyderabad - India

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Principal AWS Data Engineer - Full time

About the Role
We are seeking a Principal AWS Data Engineer to join our Managed Services Team and take ownership of supporting diverse client environments. This role focuses on maintaining triaging and improving a variety of customer systems from custom-built applications to modern cloud solutions across multiple industries and technology stacks.
The ideal candidate is a seasoned engineer who thrives in dynamic multi-technology environments and has a proven track record of troubleshooting performance tuning and driving operational excellence. This is a hands-on and client-facing position ideal for someone who can rapidly assess unfamiliar systems deliver fixes and provide technical leadership in a consulting setting.

Key Responsibilities
  • Client Environment Support Serve as a primary point of contact for production support triage and incident resolution across diverse client systems.
  • Bugfixing & Maintenance Perform root cause analysis implement bug fixes and ensure long-term stability of customer applications.
  • Cross-Technology Expertise Work across a wide range of technologies such Ruby on Rails cloud-native applications and automation tools.
  • Operational Leadership Establish and refine monitoring alerting and incident response practices.
  • Collaboration Partner with customer teams and internal engineers to identify improvements and streamline operations.
  • Maintenance Windows Participate in planned weekend maintenance activities as part of a rotating schedule.
  • Knowledge Transfer & Documentation Ensure systems are well-documented and that knowledge is shared within the team.
  • Adaptability Continuously learn and integrate new tools platforms and technologies used across client environments.

Required Skills & Experience
  • Required to provide support during S2 shift (12.30pm IST - 9.30pmIST)
  • 5 years of experience in Data Science Database Administration Machine Learning or Data Engineering roles with at least 2 years supporting production environments
  • Strong troubleshooting and problem-solving skills across application infrastructure and networking layers.
  • Experience with Data Engineer tools on AWS: Extract-Transform-Load Machine Learning AWS Lambda
  • Strong scripting or automation experience (e.g. Python Bash PowerShell).
  • Excellent communication and client-facing skills for working in a consulting environment.

Preferred Qualifications
  • Prior experience in managed services or consulting environments with multiple concurrent clients.
  • Familiarity with a broad range of database technologies (Oracle DB SQL Server Postgres MongoDB etc.).
  • Experience improving legacy systems for better reliability cost optimization or scalability.

Why Join Us
  • Diverse Technology Exposure Support a wide range of tools frameworks and cloud platforms.
  • Impactful Role Keep mission-critical client systems operational and evolving.
  • Global Team Culture Work with experts across multiple time zones and technology domains.
  • Professional Growth Gain experience across industries tools and modern automation practices.
  • Competitive Compensation Principal-level rates based on skills and experience with shift differential for overnight work.
If you excel at diagnosing complex systems solving tough operational challenges and thrive in a multi-technology always-learning environment wed love to hear from you.


Required Experience:

Manager

Principal AWS Data Engineer - Full timeAbout the RoleWe are seeking a Principal AWS Data Engineer to join our Managed Services Team and take ownership of supporting diverse client environments. This role focuses on maintaining triaging and improving a variety of customer systems from custom-built a...
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About Company

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For over 25 years, Centroid has migrated and managed complex workloads in the Cloud to enable our customers’ successful transformation journey.

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