<p>Sr DevOPS Engineer (Snowflake, DBT and Qlik)</p> <ul> <li>CI/CD tools: Azure DevOps Pipelines or GitLab CI/CD (hands-on pipeline development) </li><li>Infrastructure as Code: Terraform (AWS and Azure providers) - production-grade experience </li><li>Configuration Management: Ansible and/or Puppet - ability to write playbooks/manifests and manage infrastructure state </li><li>Cloud platforms: AWS (EC2, S3, RDS, VPC, IAM, Lambda, Glue, Lakeformation) and Azure (VMs, App Services, Blob Storage, Cosmos DB, networking) </li><li>Python programming: scripting, automation, API integration, and tooling development </li><li>Snowflake: operational knowledge of warehouse management, cost optimization, and cloud integration </li><li>Git/GitLab/GitHub: version control, branching strategies, and repository management </li><li>Linux/Unix system administration and command-line proficiency </li><li>Networking fundamentals: VPCs, subnets, security groups, DNS, load balancing </li><li>Scripting languages: Bash, Python, or similar for automation </li><li>5+ years in DevOps, Platform Engineering, or Infrastructure Engineering </li><li>3+ years hands-on with Terraform and Infrastructure as Code </li><li>3+ years with CI/CD tools (Jenkins, GitLab CI, Azure DevOps, or similar) </li><li>2+ years with configuration management tools (Ansible, Puppet, or similar) </li><li>2+ years supporting cloud platforms (AWS and/or Azure in production) </li><li>1+ years with Python automation and scripting </li><li>Experience supporting or integrating with Snowflake or modern data warehouses </li></ul> <p>CORE COMPETENCIES:</p> <ul> <li>Strong automation mindset: identify and eliminate manual toil </li><li>Systems thinking: understand full deployment pipelines and infrastructure dependencies </li><li>Problem-solving and troubleshooting skills </li><li>Clear communication with both technical and non-technical stakeholders </li><li>Detail-oriented with focus on reliability and repeatability </li><li>Comfortable with continuous learning of new tools and cloud services </li><li>Collaborative approach to working with data engineering teams </li><li>Ability to balance speed of delivery with stability and safety </li></ul> <p>Salary Range- $100,000-$110,000 a year</p> <p>#LI-SP3</p> <p>#LI-VX1</p>