We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Data Cloud Engineer (DataOps) at Trafilea. Location Information: Argentina. About Trafilea. Trafilea is a Consumer Tech Platform for Transformative Brand Growth. We’re building the AI Growth Engine that powers the next generation of consumer brands.. With over $1B+ in cumulative revenue, 12M+ customers, and 500+ talents across 19 countries, we combine technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands.. We own and operate our own digitally native brands (not an agency), with presence in Walmart, Nordstrom, and Amazon, and a strong global D2C footprint.. Why Trafilea. We’re a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.. 🚀 We build and scale our own brands.. 🦾 We invest in AI and automation like few others in eCom.. 📈 We test fast, grow fast, and help you do the same.. 🤝 Be part of a dynamic, diverse, and talented global team.. 🌍 100% Remote, USD competitive salary, paid time off, and more.. Key Responsibilities. The mission of the Data Cloud Engineer is to . design, implement, and maintain scalable, secure, and cost-effective cloud infrastructure and data pipelines on AWS. . This role combines DevOps and DataOps practices to ensure seamless infrastructure automation, data management, and deployment workflows. The engineer will collaborate cross-functionally with data, BI, and development teams to support critical business needs while proactively identifying improvements in automation, security, and cost efficiency.. Design, deploy, and optimize . AWS cloud infrastructure. (S3, Redshift, Lambda, ECS) for scalability and performance.. Build and maintain . data architectures and ETL pipelines. supporting BI and analytics.. Implement . Infrastructure as Code (Terraform, Terragrunt). and manage . CI/CD pipelines. for automation.. Use . Docker and Kubernetes. to enable containerized, reliable deployments.. Ensure . cloud security, compliance, and cost efficiency. across environments.. Collaborate with engineering and data teams to . resolve issues and enhance workflows.. Document best practices and . share expertise. to strengthen the team’s capabilities.. 3+ years. of experience as a Cloud, DevOps, or Data Engineer.. Deep expertise with . AWS services. (S3, Redshift, Glue, Lambda, EMR, ECS, RDS, DynamoDB).. Strong background in . data architecture, ETL design, and automation.. Proficiency in . Terraform/Terragrunt. for IaC and . CI/CD pipeline management.. Knowledge of . Docker, Kubernetes, and container orchestration.. Understanding of . cloud security frameworks and compliance standards.. Solid scripting skills in . Python or Bash.. Strong communication, collaboration, and problem-solving skills.. A mindset of . ownership, curiosity, and continuous learning.