Engenheiro de Dados Sênior

New

BrazilFull-TimeSenior

Salary not disclosed

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Job Details

Languages: English
Required Skills: AWSPythonSQLETLGitAirflowData engineeringData modelingPySpark

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

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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