Data Engineer using Python to create data solutions that drive business growth. Develops pipelines and collaborates with cross-functional teams for insights.
Responsibilities
Create data solutions that unlock business growth
Develop and maintain data pipelines in Python
Process, clean, and organize large volumes of data
Build integrations across different sources (APIs, databases, files)
Optimize queries and processes for performance and cost
Collaborate with analysts and data scientists on projects
Ensure data quality, governance, and documentation
Support business decisions with analyses and insights
Requirements
Strong experience with Python for data (pandas, SQLAlchemy or similar)
Proficiency in SQL and relational data modeling
Experience with ETL/ELT and production data pipelines
Experience with cloud environments (AWS, GCP, or Azure)
Familiarity with version control (Git) and coding best practices
Previous mid-level experience in data roles (Engineering, Analysis, or Science)
Availability for a hybrid work model and employment under CLT (Brazilian labor law)
Plus: Experience with orchestration tools (Airflow, Prefect, Dagster)
Knowledge of data lakes, data warehouses, and modern data architecture
Basic knowledge of machine learning and MLOps
Experience with BI tools (Power BI, Looker, Tableau, or similar)
Benefits
Hybrid work model
Passion for turning data into decisions with real impact
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