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 as .NET, 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.