พื้นฐาน
Senior Data Architect — Cloud Data Platform & AI/ML
โพสต์: 19.05.2026
วันปิดรับสมัคร: 03.07.2026
การอ้างอิงงาน: 896b49dff244aa7f9a771e790dbc70c6
ข้อมูลงาน
ที่ตั้ง
vicenza, veneto, Italy
บริษัท
JR Italy
ลูกค้า / นายจ้าง
Cerved Group SpA
การอ้างอิงงาน
896b49dff244aa7f9a771e790dbc70c6
ประเภทรายการ
พื้นฐาน
ต้องมีใบอนุญาตทํางานของสหภาพยุโรป
ไม่
โพสต์
19.05.2026
วันปิดรับสมัคร
03.07.2026
รายละเอียดงาน
Un’azienda leader nel settore tech in Italia cerca un Data Architect per gestire l'architettura della piattaforma dati e collaborare con vari team. Il candidato ideale avrà almeno 3-5 anni di esperienza in architettura dati e solide competenze in AWS, Apache Spark e Databricks. Questa posizione offre un ambiente di lavoro ibrido con possibilità di smart working e si trova nelle sedi di Milano, Padova, Roma o Mangone. Un'ottima opportunità per chi è appassionato di dati e innovazione.
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ทักษะ
ABAP
Agile Project Management
AJAX
analyse big data
analyse business requirements
APL
apply ICT systems theory
apply statistical analysis techniques
apply technical communication skills
ASP.NET
Assembly (computer programming)
assess ICT knowledge
build business relationships
Business Analytics
Business Intelligence
business process modelling
C
CA Datacom/DB
cloud technologies
COBOL
CoffeeScript
collect ICT data
Common Lisp
computer programming
create data models
create data sets
create database diagrams
create software design
Data Engineering
data ethics
Data Mining
Data Models
data quality assessment
Data Science
data storage
data visualisation software
Database
database development tools
database management systems
DB2
define data quality criteria
define database physical structure
define technical requirements
deliver visual presentation of data
design database backup specifications
design database in the cloud
design database scheme
develop automated migration methods
digital data processing
documentation types
Erlang
establish data processes
execute analytical mathematical calculations
Filemaker (database management systems)
Game Theory
gather data for forensic purposes
Groovy
Hadoop
handle data samples
Haskell
Healthcare Analytics
IBM Informix
ICT project management methodologies
ICT security legislation
image recognition
implement data quality processes
Information Architecture
information categorisation
information confidentiality
Information Extraction
information structure
integrate ICT data
interpret current data
Java (computer programming)
JavaScript
LDAP
lean project management
LINQ
Lisp
make data-driven decisions
manage cloud data and storage
manage data
manage data collection systems
manage database
manage quantitative data
manage standards for data exchange
Marketing Analytics
MarkLogic
Matlab
MDX
Microsoft Access
Microsoft Visual C++
migrate existing data
ML (computer programming)
multidisciplinary research
MySQL
N1QL
normalise data
Objective-C
ObjectStore
online analytical processing
OpenEdge Advanced Business Language
OpenEdge Database
operate relational database management system
Oracle Relational Database
Oracle WebLogic
Pascal (computer programming)
perform data analysis
perform data cleansing
perform data mining
perform resource planning
Perl
PHP
PostgreSQL
Process-based management
Prolog (computer programming)
Python (computer programming)
query languages
R
report analysis results
Research Design
resource description framework query language
Ruby (computer programming)
SAP R3
SAS language
Scala
Scratch (computer programming)
Smalltalk (computer programming)
Social Network Analysis
SPARQL
SQL Server
statistical modeling techniques
Statistics
store digital data and systems
Swift (computer programming)
systems development life-cycle
Systems Theory
Teradata Database
TripleStore
TypeScript
Unstructured Data
use access control software
use data processing techniques
use databases
use markup languages
use spreadsheets software
VBScript
Visual Basic
visual presentation techniques
Web Analytics
web programming
write database documentation
XQuery