Data Infrastructure Engineer – Batch, Lake, Streaming
Gorilla Logic
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇨🇴 Colombia
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudDistributed SystemsGoogle Cloud PlatformJavaPython
About the role
- Operate and support production-grade data infrastructure across batch, lakehouse, or streaming environments
- Improve reliability through automation, monitoring, observability, and incident response
- Build, maintain, and optimize data pipelines and platform tooling
- Support upgrades, migrations, and platform evolution initiatives
- Collaborate closely with data engineers, analytics teams, and platform stakeholders
- Handle KTLO work, including maintenance, troubleshooting, and documentation
- Apply infrastructure best practices using cloud-native and IaC approaches
Requirements
- Strong experience with Python or Java
- Hands-on experience operating distributed systems in production
- Experience working with cloud platforms (AWS, GCP, or Azure)
- Familiarity with data infrastructure or data platform concepts
- Comfortable working on reliability, maintenance, and operational tasks
- Ability to collaborate with cross-functional and client-facing teams
- Advanced English level to work directly with clients.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonJavadistributed systemsdata pipelinescloud-nativeIaCautomationmonitoringobservabilityincident response
Soft skills
collaborationtroubleshootingdocumentationclient-facing communication