docplanner - Data Engineer - Feegow (100% Remote within Brazil)
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT
Requirements
• Business English (ability to participate in meetings, write documentation, and communicate with global teams); • Bachelor’s degree in Information Systems, Computer Science, Software Engineering, Computer Engineering, or related fields; • Experience with relational and/or analytical databases such as Amazon Redshift, MySQL, SQL Server, Oracle, or PostgreSQL; • Strong SQL skills and experience with Python for building pipelines, automations, and supporting analysis; • Solid knowledge of database concepts: ER models (conceptual and logical); • Relational and dimensional data modeling; • Table structures, data types, and formats (CSV, JSON, Parquet); • DBMS knowledge; • Hands-on experience with ETL/ELT processes and tools; • Experience with BI tools, including Apache Superset, Tableau, Power BI, or Looker Studio, focused on dashboard creation and maintenance; • Experience with version control (Git); • Good communication, organization, and teamwork skills; • Analytical mindset with a focus on problem-solving and continuous improvement
Responsibilities
• Develop, maintain, and optimize data pipelines for data ingestion, transformation, and availability; • Implement and manage ETL/ELT processes, ensuring data quality, integrity, and consistency; • Collect, organize, and structure data from different sources (databases, APIs, files, etc.); • Perform relational and dimensional data modeling to support analytical and BI needs; • Work with relational and analytical databases, optimizing queries and performance; • Support the development and maintenance of Data Warehouses and Data Marts; • Create, enhance, and maintain existing dashboards and reports, ensuring performance, usability, and alignment with business rules; • Support and enhance BI tools such as Tableau, Looker Studio, and Apache Superset; • Develop automations and routines for data processing and control; • Monitor pipelines and data flows, identifying failures and proposing continuous improvements; • Document processes, architectures, pipelines, dashboards, and business rules; • Work closely with data analysts, data scientists, and stakeholders to ensure accessible, reliable, and well-presented data; • Participate in data projects end-to-end, including delivery, maintenance, and evolution of solutions; • Support technical and functional presentations for both technical and non-technical audiences.
Benefits
• Because it feels good to tell your family and your friends how you made the world a little bit better. You go to bed knowing that what you do matters, and that your talents align with your beliefs. • We want to make the healthcare experience more human, and that starts with you being you. We believe that taking the diversity of human experience into account makes a better healthcare experience for all . We’re not just different: we embrace diversity. We will encourage you to come to work your whole self, and that includes not coming to the office at all if you prefer not to, as we're 100% remote friendly.
No credit card. Takes 10 seconds.