Especialista en Big Data
Code 2529.A
This role has no official English translation yet; it is shown in Spanish.
El especialista en big data es el responsable de definir la estrategia de obtención y almacenamiento de grandes volumenes datos teniendo en cuenta las ultimas tecnologias disponibles en lo que respecta a infraestructura y arquitectura de datos. Asimismo cuenta con los conocimientos necesarios para procesar grandes volumenes de datos aplicando tecnicas de machine learning, desarrollando modelos que permitan transformar los datos en informacion.
Essential skills
Knowledge
- AWS Artifact
- AWS CloudHSM
- AWSCloud
- Amazon Cloud Directory
- Amazon EC2 Auto Scaling
- Amazon ElastiCache
- Amazon SNS
- Amazon SQS
- Análisis exploratorio de datos
- Apache Airflow
- Apache Airflow
- Apache Kafka
- Arquitectura de VPC
- Bases de datos como servicio
- Data Lake
- Desafíos específicos en el análisis de datos de salud
- Ecosistemas Big Data
- Firewall en el cloud
- GIT
- Hadoop
- Infraestructura con servicio (IaaS)
- ML (computer programming)
- MongoDB en NoSQL
- Monitoreo y evaluación continua de los resultados de las decisiones
- Métodos de visualización y exploración de datos
- NoSQL
- Paradigma MapReduce
- Plataforma como servicio (Paas)
- PostgreSQL
- Proceso ASUM-DM
- Proceso CRISP-DM
- Python (computer programming)
- Respaldos híbridos on premise y cloud
- SPARK
- SQL
- SQL Server
- Servicios de almacenamiento en la nube
- Servicios de almacenamiento híbrido
- Sistema cifrado de archivo (EFS)
- Sistemas de control centralizados y distribuidos
- Sistemas de control de versiones
- Spark Core
- Spark SQL
- Spark Streaming
- Técnicas de normalización y análisis de datos
- algorithms
- data warehouse
- software anomalies
- database
- information governance compliance
- object-oriented modelling
- data mining
- Agile project management
- ICT project management
- lean project management
- database development tools
- tools for software configuration management
- distributed computing
- query languages
- Agile development
- software design methodologies
- ICT project management methodologies
- Waterfall development
- hybrid model
- data models
- web programming
- database management systems
- integrated development environment software
- cloud technologies
Skills and competences
- Administrar el flujo de trabajo con GitHub
- Configurar un GIT
- Crear gráfico acíclico dirigido
- Evaluar de modelos predictivos
- Formular modelos de aprendizaje no supervisados
- Formular modelos de aprendizaje supervisado
- Gestionar ramas de código abierto
- Gestionar repositorios remotos
- Implementar Apache Spark en la nube
- Implementar modelos de Machine Learning
- Interpretar datos de wearables
- Interpretar los resultados del análisis de datos
- Programar códigos con el servicio FaaS
- Solucionar problemas de compatibilidad de datos entre sistemas interconectados en salud
- build recommender systems
- create database diagrams
- create data models
- define database physical structure
- define technical requirements
- develop data processing applications
- establish data processes
- manage ICT data architecture
- manage database
- manage changes in ICT system
- manage data
- identify clients' needs
- integrate ICT data
- perform data cleansing
- utilise machine learning
- use software libraries
- use query languages
- use scripting programming
- use object-oriented programming
- use ICT ticketing system
- use software for data preservation
- use data processing techniques
Transversal competences
- adapt to changes in technological development plans
- apply statistical analysis techniques
- implement data warehousing techniques
- estimate duration of work
- develop ICT workflow
- data quality assessment
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Sources
This service uses the ESCO classification of the European Commission and the Mapha Taxonomy developed by OTIC SOFOFA (CC BY 4.0), in an adapted version. Group codes come from the ILO's ISCO-08. See sources and licences