RD Saúde
Healthcare Insurance • Pharmaceuticals • Retail
RD Saúde is a leading healthcare company in Brazil focused on improving health and well-being through its extensive network of pharmacies and exclusive brands. With a commitment to sustainability and social responsibility, RD Saúde invests in initiatives that enrich lives while ensuring corporate accountability and transparency. The company employs over 57,000 people across more than 3,000 locations, striving to create a healthier society and future.
10,000+ employees
⚕️ Healthcare Insurance
💊 Pharmaceuticals
🛒 Retail
Senior Data Engineer
Job not on LinkedIn
2 days ago
🗣️🇧🇷🇵🇹 Portuguese Required
RD Saúde
Healthcare Insurance • Pharmaceuticals • Retail
RD Saúde is a leading healthcare company in Brazil focused on improving health and well-being through its extensive network of pharmacies and exclusive brands. With a commitment to sustainability and social responsibility, RD Saúde invests in initiatives that enrich lives while ensuring corporate accountability and transparency. The company employs over 57,000 people across more than 3,000 locations, striving to create a healthier society and future.
10,000+ employees
⚕️ Healthcare Insurance
💊 Pharmaceuticals
🛒 Retail
📋 Description
• The professional's focus will be integrating and ingesting new data into the Data Lake and improving existing pipelines • Responsible for gathering requirements from client areas; defining and negotiating priorities and deadlines; and managing the activities of their projects • As a Senior, will also be responsible for reviewing team processes; evolving the frameworks we use; and providing technical support to other engineers.
🎯 Requirements
• Education: Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Software Engineering, Data Science or related fields • Preferred: Postgraduate degree in Data-related fields (Data Engineering, Big Data, Data Science and/or Artificial Intelligence) • Cloud experience (GCP and/or AWS) • Proficiency in Python • Strong SQL/MQL skills (primarily for Oracle, MongoDB, BigQuery, Athena and Redshift) • Experience integrating data from diverse sources: Kafka, APIs, transactional databases (structured/semi-structured), files (CSV, JSON) • Airflow for workflow orchestration • Use of Git for code versioning • Practical experience using AI agents to boost productivity in team activities • Knowledge of Kubernetes is desirable; experience with DBT and data modeling
🏖️ Benefits
• Performance-based bonus (PPR) • Medical insurance • Dental insurance • On-site cafeteria • Life insurance • Transportation allowance • Pharmacy benefit (Univers) • Agreements with partner companies (New Value) • Gym subsidy (Wellhub) • Christmas hamper • Career development path • Extended maternity and paternity leave
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