DataOps, Cloud & Data Platform Specialist

🕒 May 25

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 55%

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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Mobi7

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

📦 Logistics

💼 Consulting

🚘 Automotive

Logistics • Consulting • Automotive

Mobi7 is a fleet management and telematics company that provides a cloud-based platform and services to connect, monitor and analyze vehicle fleets in real time. Its solutions include videotelemetry, GPS tracking, driver behavior monitoring, alerts, predictive and preventive maintenance, fuel control, and data dashboards, complemented by device installation, mobile connectivity and consultancy services. Mobi7 aims to improve safety, productivity and cost-efficiency for commercial fleets and serves thousands of business customers.

📋 Description

• Create and evolve Terraform modules to standardize data platform components (networking, IAM, storage, compute, pipelines, etc.) • Architect, develop, and maintain ETL/ELT pipelines and processes, ensuring quality, scalability, and observability • Establish DataOps standards and best practices, including version control, testing, deployments, and monitoring • Provide technical and consulting support to data teams, helping structure robust solutions aligned with the enterprise architecture • Implement governance, security, and cost-optimization mechanisms in cloud data environments

🎯 Requirements

• Strong experience with Terraform and infrastructure as code • Hands-on experience with cloud platforms (AWS, Azure, or GCP), especially data services • Strong knowledge of pipelines, ETL/ELT, and data architectures (Data Lake, Data Warehouse, Lakehouse) • Proficiency in Python and SQL • Experience with CI/CD for data and automation • Knowledge of containers (Docker); Kubernetes is a plus • Experience creating Terraform libraries or modules at enterprise scale • Experience with orchestrators such as Airflow, Prefect, Dagster, or Step Functions • Knowledge of monitoring and observability tools (CloudWatch, Grafana, Datadog) • Cloud or data engineering certifications • Technical leadership and the ability to influence standards and best practices • Clear communication skills for engaging with both technical and non-technical teams • Proactivity and a systems-level platform perspective

🏖️ Benefits

• Profit-Sharing and Results-Based Bonus • Company Car • Discounts on Vehicle Rentals, Subscriptions, and Purchases • Flexible Benefits Program (Medical Expense Reimbursement) • Food and Meal Vouchers • Allya • Home Office Allowance • Wellhub • Health Insurance • Dental Insurance • Life Insurance