Client is looking for a Terraform Developer to join its Aperture Data Insights team within the Quantitative & Technology Services (QTS) – Data, Cloud & Compute stream.
Position Overview
We are seeking a skilled Cloud Infrastructure & Data Engineering Specialist to join our team. This role combines infrastructure automation with contemporary data platform expertise and requires hands-on experience across cloud ecosystems and infrastructure-as-code practices.
Key Responsibilities & Requirements
Cloud Infrastructure & Platform Management
Strong working experience with major cloud platforms such as Azure.
Ability to design, deploy, and maintain scalable cloud infrastructure.
Proficiency in cloud network troubleshooting.
Ability to diagnose and resolve complex infrastructure issues.
Infrastructure as Code & Automation
Solid hands-on experience with Terraform.
Ability to create reliable and scalable infrastructure through code.
Troubleshoot and resolve Terraform-related issues.
Optimize infrastructure definitions for maintainability and efficiency.
Containerization & Orchestration
Hands-on experience with Kubernetes and containerization technologies.
Experience working with container platforms to support efficient application deployment and management across cloud environments.
CI/CD Pipeline Development
Demonstrated experience creating and maintaining CI/CD pipelines.
Ability to ensure automated and reliable deployment processes.
Data Platform Expertise
Familiarity with modern cloud data engineering platforms such as Databricks and Snowflake.
Experience with query federation and fundamental data engineering concepts.
Understanding of working within modern data platforms to support data workflows.
Programming & Development Skills
Hands-on experience with Python.
Proficiency with version control and artifact management tools, including:
GitHub
Artifactory
Nexus
Enterprise Integration
Prior experience integrating SaaS solutions with enterprise systems.
Ability to work across multiple platforms and vendor ecosystems.
Ideal Candidate Profile The ideal candidate is technically proficient across multiple domains and comfortable working across infrastructure automation, cloud operations, and data engineering.
The candidate should have practical experience troubleshooting complex systems and optimizing infrastructure for reliability, scalability, maintainability, and efficiency.