This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves serving as a senior technical leader responsible for shaping and managing the modern data ecosystem. Your contributions will directly impact our mission to enhance healthcare by delivering high-quality data products that support clinical and operational outcomes. - Design and evolve a scalable, secure, cloud-native lakehouse platform leveraging Databricks and Microsoft Fabric. - Define modeling patterns and governance frameworks across the data lifecycle. - Lead design reviews and guide teams in adopting scalable architectures. - Drive long-term platform strategy and evaluate emerging technologies. - Design and implement batch and streaming data pipelines for healthcare data sources. - Develop frameworks for ingestion, quality, lineage, metadata, and observability. - Produce clean, analytics-ready datasets for BI and machine learning. - Implement HIPAA-aligned access patterns and secure handling of PHI. - Architect Databricks workloads for reliability and efficiency. - Integrate Databricks and Microsoft Fabric with Azure services and enterprise systems. Qualifications - Bachelor's degree in Computer Science, Engineering, or a related field. - 7+ years of experience in data engineering. - 2+ years operating in a senior or staff level engineering role. - Proficiency with Databricks, Spark, Delta Lake, dbt, and Python. - Experience designing large-scale cloud data platforms (Azure preferred). - Familiarity with Data Engineering, Data Factory, and Lakehouse. - Advanced expertise in data platform architecture. - Ability to create modular, extensible frameworks for enterprise solutions. - Strong command of distributed data processing techniques. - Experience in HIPAA regulated environments and handling PHI. - Fluency in healthcare data compliance standards. - Technical leadership and mentorship capabilities. - Excellent communication skills with technical and clinical stakeholders. Benefits - 100% remote work (ET or CT work hours preferred). - Collaborative and inclusive work environment. - Opportunities for professional growth and development. - Mission-driven culture focused on improving healthcare. - Diversity, equity, and inclusion in recruitment practices. - Access to cutting-edge technology and resources.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description - Colaborar en la evolución del ecosistema de datos mediante el procesamiento en data warehouses (Amazon Redshift) y entornos Big Data sobre AWS. - Diseñar, desarrollar y optimizar pipelines ETL/ELT utilizando AWS Glue, Lambda y herramientas complementarias del ecosistema. - Participar activamente en procesos de migración de datos entre plataformas, asegurando equivalencia funcional y calidad del dato. - Implementar y mantener procesos batch programados, incluyendo orquestación de flujos de trabajo con herramientas como Airflow (MWAA) o AWS Step Functions. - Ejecutar y promover mejores prácticas de ingeniería de datos: versionamiento, testing, documentación técnica y calidad de datos. - Trabajar en la optimización de procesos ETL existentes, mejorando tiempos de ejecución y eficiencia de costos. - Analizar requerimientos del negocio para brindar soluciones eficientes y escalables. - Dar soporte en la resolución de incidentes vinculados a ETL, datos y otros desarrollos asociados. - Validar y mantener documentación técnica relevante del ecosistema de datos. - Estar en constante capacitación sobre nuevas tecnologías y herramientas del ecosistema AWS. Qualifications - Experiencia de 3 a 5 años como Data Engineer en proyectos productivos. - Experiencia sólida con el ecosistema AWS: Glue, Redshift (excluyente), S3, Athena, Lambda. - Experiencia con Teradata (excluyente): stored procedures, procesos batch, SQL Teradata, comprensión de Primary Index y modelo de distribución. - Dominio de SQL avanzado: window functions, CTEs, stored procedures, optimización de queries. - Experiencia con Python para desarrollo de pipelines, transformaciones de datos y scripting. - Conocimiento práctico de herramientas ETL y orquestación de flujos de datos. - Manejo de Git y prácticas de versionamiento de código. - Conocimientos en lenguajes de scripting como Bash/Shell para automatización. - Comprensión de conceptos de data warehouse: modelos dimensionales (star schema), distkey, sortkey, particionamiento. - Estudiantes avanzados o graduados en Licenciatura y/o Ingeniería en Sistemas, Ciencias de la Computación o afines. Requirements - Experiencia en migración de procesos batch y datos desde Teradata hacia Redshift (conversión de SQL, refactorización de modelos de datos). - Conocimiento de Redshift Spectrum, materialized views y data sharing entre clusters. - Experiencia con Apache Airflow (MWAA) o AWS Step Functions para orquestación de pipelines. - Familiaridad con dbt para transformaciones ELT. - Experiencia en desarrollo y automatización de ingestas desde distintas fuentes: bases de datos, archivos, APIs. - Conocimientos en procesamiento distribuido: Spark, PySpark, Hadoop. - Experiencia con Kafka o Spark Streaming para procesamiento en tiempo real. - Certificaciones AWS (Cloud Practitioner, Solutions Architect, Data Analytics Specialty). - Nivel de inglés intermedio o superior. - Capacidad de análisis y resolución de problemas técnicos complejos. - Autonomía para ejecutar tareas y proactividad para proponer mejoras. - Comunicación clara para interactuar con equipos técnicos y stakeholders de negocio. - Orientación a la calidad del dato y atención al detalle. - Disposición para aprender nuevas tecnologías y adaptarse a contextos dinámicos. Benefits - Días Nubiral para disfrutar como vos quieras. - Día de cumpleaños off. - Licencia por adopción de mascotas. - Formación continua: certificaciones afines cubiertas. - Acompañamiento en momentos importantes para tu familia: regalo por nacimiento, cumple de hijos/as off. - Inclusión, innovación y trabajo en equipo son la base de nuestro éxito.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves serving as a senior technical leader responsible for shaping and managing the modern data ecosystem. Your contributions will directly impact our mission to enhance healthcare by delivering high-quality data products that support clinical and operational outcomes. - Design and evolve a scalable, secure, cloud-native lakehouse platform leveraging Databricks and Microsoft Fabric. - Define modeling patterns and governance frameworks across the data lifecycle. - Lead design reviews and guide teams in adopting scalable architectures. - Drive long-term platform strategy and evaluate emerging technologies. - Design and implement batch and streaming data pipelines for healthcare data sources. - Develop frameworks for ingestion, quality, lineage, metadata, and observability. - Produce clean, analytics-ready datasets for BI and machine learning. - Implement HIPAA-aligned access patterns and secure handling of PHI. - Architect Databricks workloads for reliability and efficiency. - Integrate Databricks and Microsoft Fabric with Azure services and enterprise systems. Qualifications - Bachelor's degree in Computer Science, Engineering, or a related field. - 7+ years of experience in data engineering. - 2+ years operating in a senior or staff level engineering role. - Proficiency with Databricks, Spark, Delta Lake, dbt, and Python. - Experience designing large-scale cloud data platforms (Azure preferred). - Familiarity with Data Engineering, Data Factory, and Lakehouse. - Advanced expertise in data platform architecture. - Ability to create modular, extensible frameworks for enterprise solutions. - Strong command of distributed data processing techniques. - Experience in HIPAA regulated environments and handling PHI. - Fluency in healthcare data compliance standards. - Technical leadership and mentorship capabilities. - Excellent communication skills with technical and clinical stakeholders. Benefits - 100% remote work (ET or CT work hours preferred). - Collaborative and inclusive work environment. - Opportunities for professional growth and development. - Mission-driven culture focused on improving healthcare. - Diversity, equity, and inclusion in recruitment practices. - Access to cutting-edge technology and resources.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves serving as a senior technical leader responsible for shaping and managing the modern data ecosystem. Your contributions will directly impact our mission to enhance healthcare by delivering high-quality data products that support clinical and operational outcomes. - Design and evolve a scalable, secure, cloud-native lakehouse platform leveraging Databricks and Microsoft Fabric. - Define modeling patterns and governance frameworks across the data lifecycle. - Lead design reviews and guide teams in adopting scalable architectures. - Drive long-term platform strategy and evaluate emerging technologies. - Design and implement batch and streaming data pipelines for healthcare data sources. - Develop frameworks for ingestion, quality, lineage, metadata, and observability. - Produce clean, analytics-ready datasets for BI and machine learning. - Implement HIPAA-aligned access patterns and secure handling of PHI. - Architect Databricks workloads for reliability and efficiency. - Integrate Databricks and Microsoft Fabric with Azure services and enterprise systems. Qualifications - Bachelor's degree in Computer Science, Engineering, or a related field. - 7+ years of experience in data engineering. - 2+ years operating in a senior or staff level engineering role. - Proficiency with Databricks, Spark, Delta Lake, dbt, and Python. - Experience designing large-scale cloud data platforms (Azure preferred). - Familiarity with Data Engineering, Data Factory, and Lakehouse. - Advanced expertise in data platform architecture. - Ability to create modular, extensible frameworks for enterprise solutions. - Strong command of distributed data processing techniques. - Experience in HIPAA regulated environments and handling PHI. - Fluency in healthcare data compliance standards. - Technical leadership and mentorship capabilities. - Excellent communication skills with technical and clinical stakeholders. Benefits - 100% remote work (ET or CT work hours preferred). - Collaborative and inclusive work environment. - Opportunities for professional growth and development. - Mission-driven culture focused on improving healthcare. - Diversity, equity, and inclusion in recruitment practices. - Access to cutting-edge technology and resources.