Engenheiro de Dados Sênior
New
BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Required Skills
- AWSPythonSQLETLGitAirflowData engineeringData modelingPySpark
Requirements
- Proven experience as a Data Engineer working with large-scale data environments
- Strong hands-on experience with Python and PySpark for data pipeline development
- Solid experience with AWS data services (S3, Glue, EMR, Lambda, Redshift)
- Strong knowledge of ETL/ELT processes and distributed data processing
- Advanced SQL skills for querying, modeling, and optimization
- Experience designing Data Lakes and Data Warehouses
- Familiarity with Git and modern software engineering practices
- Knowledge of workflow orchestration tools (e.g., Airflow) is desirable
- Understanding of data architecture, performance optimization, and scalability principles
- Strong analytical thinking and problem-solving abilities
- Ability to work in collaborative, global, and fast-paced environments
- English at advanced or fluent level is a strong plus
Responsibilities
- Design, develop, and maintain scalable data pipelines using Python and PySpark
- Build and optimize data processing architectures on AWS (S3, Glue, EMR, Lambda, Redshift)
- Develop robust ETL/ELT workflows for ingestion, transformation, and processing of large datasets
- Apply advanced SQL techniques for data manipulation, modeling, and query optimization
- Design and implement data models for analytical environments such as Data Lakes and Data Warehouses
- Collaborate on cloud-based data architecture and best engineering practices
- Use Git for version control and ensure software engineering best practices in data development
- Contribute to workflow orchestration using tools such as Airflow or similar platforms
- Support data governance, performance tuning, and system scalability initiatives
- Work closely with cross-functional teams to translate business requirements into technical solutions
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