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Skills
Amazon Web Services (AWS)unmatched
Automationunmatched
Best Practicesunmatched
Cloud Computingunmatched
Computer Programmingunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Cross-Functionalunmatched
Data Analysisunmatched
Data Managementunmatched
Database Extract Transform and Load (ETL)unmatched
Database Optimizationunmatched
DevOpsunmatched
GCP (Good Clinical Practices)unmatched
Identify Issuesunmatched
Microsoft Windows Azureunmatched
Problem Solving Skillsunmatched
Python Programming/Scripting Languageunmatched
Query Optimizationunmatched
Reliability Engineeringunmatched
SQL (Structured Query Language)unmatched
SQL Databasesunmatched
Scripting (Scripting Languages)unmatched
Software Engineeringunmatched
Systems Reliabilityunmatched
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.