Senior DataOps

Job not on LinkedIn

🔥 4 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Leega

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

💼 Consulting

📣 Marketing

🔌 API

Consulting • Marketing • API

Leega is a leading technology solutions provider in Latin America, specializing in data analytics and cloud solutions. As the first company in the region certified by Google Cloud for Data Analytics, Leega offers a range of services including application development, machine learning, and risk management analytics. The firm partners with major cloud services such as AWS and Microsoft Azure to help businesses enhance their data management and transition effectively to the cloud, ultimately driving digital transformation and innovation.

📋 Description

• 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

• 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

• Ongoing training and development • Dynamic, collaborative environment • Leega is for everyone; position also open to candidates with disabilities