Description

You will own the stability and evolution of enterprise cloud infrastructure and data pipelines in AWS.

This role is on-site.

Responsibilities

• Architect and maintain complex ETL workflows and data models using Python and SQL.
• Oversee automated cloud workloads to ensure uptime and monitor performance bottlenecks.
• Lead incident response, root cause analysis, and implementation of reliability best practices.
• Manage enterprise data retention, archival, and lifecycle policies to ensure governance.
• Mentor junior engineers and provide technical guidance on cloud modernization initiatives.

Required Skills

• 10+ years of experience in cloud or data engineering roles.
• Expert proficiency in Python and SQL for data processing.
• Extensive hands-on experience with AWS services: EC2, S3, Lambda, RDS, IAM, CloudWatch.
• Deep understanding of ETL workflows and large-scale data processing architectures.
• Proven track record of maintaining production-grade cloud systems.
• Bachelor's degree in a technical field.

Preferred Skills

• Experience with PagerDuty and DevOps/CI/CD pipelines.
• Familiarity with financial services or fintech systems.

Key Skills

Education

Bachelor's degree