Data Cloud Engineer (DataOps)

About Trafilea

Trafilea is a dynamic and innovative Tech E-commerce Group that operates multiple direct-to-consumer brands in the intimate apparel and beauty sectors, with a focus on using data-driven strategies to scale their businesses. In addition to our products, we have our own online community dedicated to promoting body positivity. As a rapidly growing global player, Trafilea is committed to creating high-quality products and services that enhance the customer experience and drive long-term growth.

At Trafilea, we foster a culture of collaboration, innovation, and continuous learning. We believe in investing in our people and providing them with the support and development opportunities they need to grow both personally and professionally. With our remote-first approach, you'll have the freedom to work from anywhere in the world, surrounded by a diverse and talented team that spans the globe.

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.

Key Responsabilities:

1. Cloud Infrastructure Management (AWS)

   • Design, deploy, and manage AWS services (S3, RDS, Redshift, DynamoDB, Glue, EMR, Lambda, ECS, etc.).

   • Monitor and optimize infrastructure for performance and cost efficiency.

   • Implement containerization using Docker/Kubernetes.

   • Ensure compliance with security best practices.

2. Data Management & Pipelines

   • Design and implement efficient data architectures.

   • Build and maintain ETL pipelines for data processing and analytics.

3. DevOps Practices

   • Implement Infrastructure as Code (IaC) with Terraform/Terragrunt.

   • Integrate CI/CD pipelines for automated deployments.

   • Continuously adopt new AWS and DevOps methodologies.

4. Collaboration & Problem-Solving

   • Partner with BI, Data, and Development teams to align infrastructure and workflows.

   • Troubleshoot cloud-related issues quickly and effectively.

   • Share knowledge via mentoring and team training sessions.
     
     

     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.

🎓 Qualifications

✅ Must-Have Skills

✔️ 3+ years of experience as a Data Cloud Engineer, Data Engineer, or Cloud Engineer.

✔️ Strong experience with AWS cloud services for data processing (Redshift, Athena, Glue, S3, DynamoDB, Kinesis).

✔️ Expertise in SQL and distributed databases (PostgreSQL, Snowflake, BigQuery, ClickHouse).

✔️ Hands-on experience with ETL/ELT pipelines, automation, and orchestration tools (Airflow, Step Functions, dbt).

✔️ Strong knowledge of Infrastructure as Code (Terraform, CloudFormation) for data infrastructure.

✔️ Experience working with large-scale data processing frameworks (Apache Spark, Flink, EMR).

✔️ Proficiency in Python, Bash, or similar scripting languages for automation.

✅ Nice-to-Have Skills

➕ Experience with streaming data architectures (Kafka, Kinesis, Apache Flink, RabbitMQ).

➕ Knowledge of machine learning pipelines and feature stores.

➕ Experience with Data Governance, Data Quality, and Security Best Practices.

➕ Understanding of FinOps principles for cost optimization in cloud data solutions.