Data Engineer/Platform Engineer

Key Responsibilities

• Design and build complex, multi-tenant systems with a focus on scalability and reliability.
• Develop and maintain batch and real-time data pipelines using modern data engineering practices.
• Implement CI/CD pipelines and Infrastructure as Code (IaC) using tools like GitHub Actions and eTrraform.
• Collaborate with cross-functional teams to deliver cloud-native solutions, primarily on AWS.
• Apply automation-first principles to streamline development and operational processes.
• Ensure observability through monitoring, logging, and alerting best practices.
• Provide technical leadership and contribute to platform engineering initiatives.

Required Qualifications

• Bachelor’s degree in Computer Science or a related field.
• 8+ years of experience in software engineering.
• Proven track record in designing and building scalable systems.
• Strong problem-solving skills and a commitment to engineering excellence.
• Deep understanding of platform engineering and cloud-native design patterns (especially AWS).
• Expertise in microservices architecture is a plus.
• Strong background in data engineering and modern data architecture.
• Extensive experience with CI/CD pipelines and Infrastructure as Code (Terraform, YAML).
• Operational experience with observability tools and practices.
• Proficiency with GitHub and source control workflows.

Preferred Technical Skills

• Databricks: Strong expertise, including data lakes and data warehouse architecture.
• AWS: Comprehensive knowledge of native data services and cloud architecture.
• Python: Advanced knowledge with object-oriented programming principles.
• Terraform: Advanced experience in building and managing IaC systems