Engenheiro de Dados Sênior
BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- AWSPythonSQLCI/CDGitHub
Requirements
- Strong proficiency in Python and SQL.
- Solid experience with relational databases and ETL/ELT tools.
- Hands-on experience with AWS services such as Lambda, Redshift, Glue, Step Functions, S3, Athena, DMS, and related tools.
- Knowledge of modern data architectures including Data Lake, Lakehouse, and Medallion models.
- Experience with DataOps practices and data observability frameworks.
- Strong experience with GitHub version control and CI/CD pipelines.
- Knowledge of FinOps principles for cloud cost optimization.
- Experience working in cloud-based data engineering environments.
- Strong communication skills and ability to work closely with business and technical stakeholders.
Responsibilities
- Design, build, and maintain scalable data pipelines (ETL/ELT) across AWS and GCP environments.
- Develop and optimize data ingestion, transformation, and delivery workflows supporting analytical and operational use cases.
- Define and implement relational and dimensional data models, including star schema design for analytics consumption.
- Structure data using modern architectures such as Data Lake and Medallion (Bronze, Silver, Gold layers).
- Collaborate with business teams to translate requirements into robust and scalable data solutions.
- Ensure data quality, governance, security, and compliance throughout the data lifecycle.
- Monitor and optimize cloud performance and costs using FinOps best practices.
- Act as a technical reference, promoting engineering best practices, code reviews, and architectural improvements.
- Lead initiatives involving AI integration, including LLMs, intelligent agents, and automation within data workflows.
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