7+ years of hands-on experience in automation development
Strong proficiency in Terraform for infrastructure-as-code (IaC) deployments
Advanced programming skills in Python for scripting and automation
Expertise in SQL for database querying, optimization, and data manipulation
Requirements:
Design, develop, and implement automated self-serve provisioning solutions to streamline data operations
Enable knowledge discovery by building tools and scripts to extract, analyze, and present data insights
Write and optimize Terraform scripts for infrastructure automation and deployment
Develop Python-based automation tools and workflows to improve efficiency
Job description
Job Summary: We are seeking a highly skilled Automation Developer with expertise in Terraform, Python, and SQL to join our Data team. This is a 100% onsite role, and local candidates are preferred. The ideal candidate will have a strong background in automation, infrastructure-as-code, and data-driven solutions. Key Responsibilities:
Design, develop, and implement Automated Self-Serve Provisioning solutions to streamline data operations.
Enable Knowledge Discovery by building tools and scripts to extract, analyze, and present data insights.
Develop Agentic SRE (Site Reliability Engineering) capabilities to enhance system reliability and automation.
Write and optimize Terraform scripts for infrastructure automation and deployment.
Develop Python-based automation tools and workflows to improve efficiency.
Write and optimize SQL queries for data extraction, transformation, and reporting.
Collaborate with cross-functional teams to integrate automation solutions into existing systems.
Troubleshoot and resolve issues related to automation, infrastructure, and data pipelines.
Required Skills & Qualifications:
7+ years of hands-on experience in automation development.
Strong proficiency in Terraform for infrastructure-as-code (IaC) deployments.
Advanced programming skills in Python for scripting and automation.
Expertise in SQL for database querying, optimization, and data manipulation.
Experience with data engineering, DevOps, or SRE practices is a plus.
Ability to work 100% onsite (local candidates preferred).
Strong problem-solving skills and a proactive approach to automation challenges.
Preferred Qualifications:
Familiarity with cloud platforms (AWS, Azure, GCP).
Knowledge of CI/CD pipelines and DevOps best practices.
Experience with data warehousing and ETL processes.