Senior Data Engineer (AWS)
New
BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Advanced English proficiency
- Experience
- 5+ years
- Required Skills
- AWSDockerPythonSQLMicrosoft Power BISnowflakeTerraformData modeling
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).
- Strong ownership mindset, autonomy, and ability to proactively identify and mitigate risks.
- Comfort using AI-assisted development tools such as GitHub Copilot or Claude.
Responsibilities
- 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.
- Implement and maintain infrastructure as code using Terraform.
- 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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