Description

Core Responsibilities

Development & Support

• Maintain, optimize, and modernize existing data models and cloud applications.
• Lead the design and rollout of new cloud-based projects and enhancements.
• Architect and support complex ETL workflows and data pipelines.
• Provide technical guidance and mentorship to junior team members.

Production Oversight

• Oversee automated jobs and cloud workloads to ensure maximum uptime and stability.
• Proactively troubleshoot production issues and performance bottlenecks.
• Implement monitoring and reliability best practices.

Data Management

• Manage enterprise-level data retention, archival, and lifecycle policies.
• Ensure data integrity, availability, and governance within AWS environments.
• Support large-scale operational data frameworks.

Incident Response

• Lead incident response efforts and root cause analysis.
• Respond to system alerts and ensure timely resolution of issues.
• Contribute to documentation, runbooks, and post-incident reviews.

Technical Requirements

• 10+ years of experience in cloud engineering, data engineering, or related technical roles.
• Strong expertise in Python and SQL.
• Advanced understanding of ETL workflows and large-scale data processing.
• Extensive hands-on experience in AWS (EC2, S3, Lambda, RDS, IAM, CloudWatch, etc.).
• Experience monitoring and maintaining production-grade cloud systems.

Preferred Qualifications

• Experience with monitoring tools such as PagerDuty.
• Exposure to financial services or fintech systems.
• Familiarity with DevOps practices and CI/CD pipelines.
• Experience leading cloud modernization or migration initiatives

Key Skills

Education

Bachelor's degree