Data Engineer – Mid-level
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Job Description
Data Engineer developing robust data pipelines and analytical solutions for a healthtech company in Belo Horizonte. Ensuring data quality and compliance with health regulations in their processes.
Responsibilities:
- Develop and maintain robust, reliable data pipelines (Python + PostgreSQL), including ingestion, transformation, and loading processes (ETL/ELT)
- Model data — design and evolve relational schemas, ensuring integrity, performance, and traceability
- Implement and monitor data quality routines, identifying inconsistencies, duplicates, and integrity failures before they reach analyses
- Build and evolve dashboards, reports, and analytical applications in Streamlit or similar platforms — including operational, therapeutic, clinical, and outcome analyses for clients such as healthcare payers/operators
- Organize and evolve the team's data architecture, aligning pipelines, repositories, and visualizations with the product-defined structure
- Document business rules, indicator methodologies, and technical decisions — ensuring knowledge is not concentrated in a single person
- Work closely with the product team to translate complex clinical rules into actionable analyses, models, and visualizations
- Ensure data is handled in compliance with the LGPD (Brazilian General Data Protection Law), especially regarding sensitive health data
Requirements:
- Strong experience with Python for data (pandas, automation, data manipulation)
- Experience with PostgreSQL — relational modeling, advanced queries, optimization
- Good practices in code version control (Git)
- Experience with Streamlit or similar data visualization tools
- Ability to work autonomously, document your work, and communicate effectively with non-technical stakeholders
- Familiarity with Azure
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