
Data Engineer – Mid-level
Posted 4 days ago

Posted 4 days ago
This is a fully remote position, open to applicants in Brazil.
• Create and sustain robust and dependable data pipelines using Python and PostgreSQL, encompassing ingestion, transformation, and loading processes (ETL/ELT).
• Design and refine data models, ensuring the integrity, performance, and traceability of relational schemas.
• Establish and oversee data quality protocols to identify inconsistencies, duplicates, and integrity issues prior to analysis.
• Develop and enhance dashboards, reports, and analytical applications utilizing Streamlit or similar platforms, focusing on operational, therapeutic, clinical, and outcome analyses for clients including healthcare payers and operators.
• Organize and advance the team's data architecture, ensuring alignment of pipelines, repositories, and visualizations with the defined product structure.
• Document business rules, indicator methodologies, and technical decisions to prevent knowledge from being concentrated in one individual.
• Collaborate closely with the product team to convert complex clinical rules into actionable analyses, models, and visualizations.
• Ensure compliance with the LGPD (Brazilian General Data Protection Law) in handling data, particularly concerning sensitive health information.
• Extensive experience with Python for data management, including pandas, automation, and data manipulation.
• Proficient in PostgreSQL, with skills in relational modeling, advanced queries, and optimization.
• Familiarity with best practices in code version control using Git.
• Experience with Streamlit or comparable data visualization platforms.
• Ability to work independently, effectively document your processes, and communicate with non-technical stakeholders.
• Knowledge of Azure is a plus.
• Competitive salary and performance bonuses.
• Flexible working hours and remote work options.
• Opportunities for professional development and continuous learning.
• Collaborative and inclusive work environment.
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