Senior Data Engineer (AWS)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer (AWS) based in Brazil.

This role is an opportunity to shape and scale a modern, cloud-native data platform built on AWS and designed to support high-impact analytics across the business. You will be responsible for architecting end-to-end data pipelines that integrate multiple source systems into a centralized Snowflake environment. The position requires strong technical ownership, as you will influence core architectural decisions and ensure best practices across performance, scalability, and reliability.
You will work in a fully remote, highly autonomous environment where clear communication and engineering excellence are essential.
The role combines hands-on engineering with architectural leadership, including data modeling, infrastructure as code, and pipeline optimization.
You will collaborate closely with analytics and business teams to deliver trusted, high-quality datasets that power BI and decision-making.
It is a key position for someone who thrives in complex data environments and enjoys building scalable systems from the ground up.

• Design, own, and evolve the architecture of cloud-based data pipelines and platform components on AWS.
• Build and maintain ingestion pipelines using services such as AWS DMS, AppFlow, EventBridge, and S3.
• Develop and optimize data models in Snowflake using dbt Cloud and dimensional modeling best practices (Kimball, SCD Type 2).
• Implement and maintain infrastructure as code using Terraform, ensuring scalable and reproducible environments.
• Lead performance tuning, cost optimization, monitoring, and root-cause analysis across the data platform.
• Collaborate with cross-functional teams to deliver curated datasets for BI tools such as Power BI.
• Contribute to engineering standards through code reviews, technical guidance, and architectural discussions.

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Requirements

• 5+ years of experience in Data Engineering roles.
• Strong proficiency in Python (including AWS Lambda) and advanced SQL.
• Hands-on experience with AWS data services such as S3, Glue, Athena, EventBridge, AppFlow, and DMS.
• Solid experience with Snowflake, dbt Cloud, Terraform, and Docker.
• Strong understanding of dimensional data modeling (star schema, facts, dimensions) and SCD Type 2 implementations.
• Experience working with infrastructure as code and cloud-native architectures.
• Advanced English proficiency (written and spoken) for international collaboration.
• Strong ownership mindset, autonomy, and ability to proactively identify and mitigate risks.
• Comfort using AI-assisted development tools such as GitHub Copilot or Claude.
• Nice to have: AWS Data Engineer certification (DEA-C01), experience with CDC pipelines, Airflow/Dagster/Prefect, and data observability tools (e.g., Great Expectations, Monte Carlo).

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Benefits

• 100% remote work model (LATAM-based role)
• Competitive compensation in USD
• Paid time off and holidays
• Health insurance assistance
• Growth and career development opportunities
• Exposure to modern data stack and advanced cloud architecture
• Collaborative, high-autonomy engineering environment
• Work with cutting-edge tools in data engineering and AI-assisted development