desarrollador ETL

Code 2521.5.1

This role has no official English translation yet; it is shown in Spanish.

El desarrollador/la desarrolladora ETL se enfoca en diseñar y desarrollar procesos ETL (Extract, Transform, Load) para la construcción y gestión de un Data Warehouse. Su propósito principal es facilitar la extracción, transformación y carga eficiente de datos provenientes de múltiples fuentes, permitiendo un análisis efectivo y una toma de decisiones informada en diversos contextos organizacionales.

Essential skills

Knowledge

API Application Programming Interface
APIs JSON
APIs REST
Apache Spark
Data Factory (ETL processes)
Database management
GitHub
Google BigQuery
JavaScript Object Notation (JSON)
Linux
Linux Shell Scripting Automations
MySQL
Non-relational Databases
Object Oriented Programming
Oracle Relational Database
PostgreSQL
Python
Python (computer programming)
Relational Databases
Representational State Transfer REST
SQL Data Warehouse
SQL Server
task algorithmisation
data storage
data warehouse
web analytics
information architecture
database
information categorisation
communication
unstructured data
information security strategy
information structure
data mining
information extraction
product data management
ICT security legislation
data models
online analytical processing
computer programming
cloud technologies

Skills and competences

store digital data and systems
analyse big data
analyse business requirements
implement ICT risk management
apply information security policies
implement data quality processes
apply ICT systems theory
consult information sources
create database diagrams
create software design
create data models
create solutions to problems
define database physical structure
develop automated migration methods
develop information security strategy
design database in the cloud
design database backup specifications
design database scheme
design application interfaces
design user interface
perform data mining
establish data processes
create data sets
manage ICT data architecture
manage database
manage data
manage digital documents
manage ICT data classification
manage standards for data exchange
manage cloud data and storage
manage data collection systems
identify software for warehouse management
integrate ICT data
handle data samples
operate relational database management system
migrate existing data
normalise data
process data
perform data analysis
perform data cleansing
write database documentation
collect ICT data
use databases
utilise regular expressions
use back-up and recovery tools
use query languages
use data processing techniques

Transversal competences

address problems critically
information confidentiality
meet deadlines
define data quality criteria
data quality assessment
manage quantitative data
manage schedule of tasks
interpret current data
think analytically

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What to assess for this role

Technical knowledge can be verified with tests and references. What never shows up on a CV are the transversal competences, and they explain most failed hires. Before closing, it pays to measure them with a standardised battery.

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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