Python Data Engineer
New
BrazilFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- English
- Required Skills
- PythonSQLETLSparkData modeling
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related fields
- Experience working with ETL processes and data pipeline development
- Strong proficiency in Python and SQL
- Experience with relational and non-relational databases
- Background in data analysis, KPI monitoring, and analytical studies
- Ability to read and understand technical documentation in English
- Familiarity with Data Lake concepts and Apache Spark (preferred)
- Experience in data engineering projects with large-scale data environments (preferred)
- Knowledge of data governance, quality, and architecture best practices (preferred)
Responsibilities
- Develop and maintain ETL (Extract, Transform, Load) processes and data workflows
- Build, optimize, and maintain scalable data pipelines for analytical consumption
- Model, transform, and integrate data from multiple heterogeneous systems
- Ensure data quality, reliability, performance, and sustainability of data solutions
- Monitor data workloads and optimize for cost, efficiency, and performance
- Perform data modeling and support analytical exploration, segmentation, and reporting
- Document technical processes, pipelines, and data architecture clearly and consistently
- Collaborate with analysts, data scientists, engineers, and business stakeholders
- Support onboarding and knowledge sharing for new team members
- Identify and drive continuous improvement initiatives in data engineering processes
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