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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining CI/CD pipelines using Azure DevOps and GCP data tools, while implementing DataOps and DevSecOps best practices. Proficient in collaborating with cross-functional teams to enhance data environments and drive continuous improvements in DevOps architecture.
Highest-signal resume keywords
Azure DevOpsGCP Data ToolsCI/CD for Data ProjectsGitOpsDataOps
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
CI/CD PipelinesDataOpsDevSecOpsTest AutomationInfrastructure as CodeMonitoring and ObservabilityDockerKubernetesSQLPython
Tools & Technologies
Azure DevOpsGCPTerraformGitYAML
Certifications & Qualifications
Microsoft DevOps CertificationGCP Certification
Industry Keywords
AgileScrumKanbanData ScienceIAM
Tech Stack
Tools & technologiesAzureDockerGoogle Cloud PlatformKubernetesPythonSQLTerraform
About the role
Key responsibilities & impact- Design, implement and maintain CI/CD pipelines in Azure DevOps for data and analytics projects
- Support and monitor cloud data environments (GCP), focusing on availability, security and performance
- Work closely with data engineers, analysts, data scientists and data infrastructure teams
- Implement DataOps and DevSecOps best practices
- Continuously evaluate the DevOps pipeline, driving adjustments and improvements to support the delivery of new products and data pipelines in line with business needs and technological evolution
- Actively participate in evolving the company’s DevOps/DataOps architecture and strategy
Requirements
What you’ll need- Proven experience as a Senior DevOps engineer
- Demonstrated experience with GCP data tools
- Proficiency with Azure DevOps (YAML pipelines, Repos, Artifacts, Boards)
- Extensive experience with GitOps
- Hands-on experience with CI/CD for data projects (deploying pipelines, SQL scripts, notebooks, Python packages)
- Experience with test automation in data pipelines
- Knowledge of Docker, Kubernetes and containers applied to data workloads
- Experience with access control and IAM
- Technical English (reading and writing)
- Microsoft DevOps certifications (preferred)
- GCP certifications (preferred)
- Experience with DataOps, MLOps or data science–oriented environments (preferred)
- Experience in agile environments (Scrum/Kanban) (preferred)
- Experience with infrastructure as code (Terraform) (preferred)
- Experience with monitoring and observability (preferred)
Benefits
Comp & perks- Ongoing training and development
- Dynamic, collaborative environment
- Leega is for everyone; position also open to candidates with disabilities
