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Data Engineer, Mid-level
Location
Brazil
Posted
79 days ago
Salary
0
Seniority
Senior
Job Description
Data Engineer, Mid-level
RPE
• Develop and optimize SQL queries, procedures, views, and functions • Implement data ingestion, transformation, and loading pipelines (ETL/ELT) • Support performance improvements for data processes (tuning and optimizations) • Work with Oracle databases and data integrations • Develop distributed processing solutions on Databricks • Use AWS services for ingestion, processing, and storage (S3, Glue, Lambda, Athena, Redshift, etc.) • Build and maintain data workflows with Airflow • Develop and maintain ETL processes using Pentaho Data Integration • Apply best practices for data quality, governance, and security • Collaborate with the team to define technical solutions and continuous improvements
Job Requirements
- Strong experience in advanced SQL (complex queries, tuning, modeling, and optimization)
- Advanced knowledge of Databricks (developing jobs, clusters, and notebooks)
- Experience with Oracle databases
- Hands-on experience with AWS (S3, Glue, Lambda, Athena, Redshift, etc.)
- Practical experience with Airflow and Pentaho for data orchestration and integration
- Experience with data pipelines and ETL/ELT tools
- Knowledge of relational and dimensional modeling
- Experience working with large volumes of data in high-availability environments
Benefits
- Hiring model: Cooperative
- Work model: Remote
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