Principal Data Engineer
New
Based in BrazilFull-TimePrincipal
Salary not disclosed
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Job Details
- Languages
- Advanced English proficiency
- Experience
- 8+ years
- Required Skills
- AWSPythonSQLGCPAirflowAzureCI/CDData modelingdbt
Requirements
- 8+ years of experience in Data Engineering, Data Architecture, or Data Platform roles.
- Strong expertise in designing and implementing large-scale, cloud-native data solutions.
- Advanced SQL skills and strong proficiency in Python.
- Extensive experience building and optimizing ETL/ELT pipelines in distributed environments.
- Hands-on experience with orchestration tools such as Airflow, dbt, or similar.
- Deep knowledge of data modeling, data warehouse design, and modern data lake architectures.
- Proven experience working with cloud platforms such as AWS, Azure, or GCP.
- Strong understanding of CI/CD practices applied to data platforms.
- Experience with data governance, security, privacy, and data lineage.
- Advanced English proficiency.
Responsibilities
- Lead the design, development, and maintenance of scalable, cloud-based data platforms and enterprise data architectures.
- Architect and optimize ETL/ELT pipelines for batch and near real-time data processing.
- Define and enforce data engineering best practices, governance standards, and coding guidelines.
- Design and implement data modeling approaches such as Star Schema, Snowflake Schema, and Data Vault.
- Build and manage orchestration frameworks using tools such as Airflow or dbt.
- Establish robust frameworks for data quality, monitoring, observability, and lineage.
- Collaborate with Data Science, Analytics, and Product teams to deliver production-ready datasets.
- Lead technical discussions, architecture decisions, and code reviews while mentoring Data Engineers.
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