Ensure the integration of data into the databases where it will be stored, whether in simple structures, Data Marts, Data Warehouses, or Data Lakes, both in cloud environments and on‑premises
Job Summary
Ensure the integration of data into the databases where it will be stored, whether in simple structures, Data Marts, Data Warehouses, or Data Lakes, both in cloud environments and on‑premises.
Define and implement ETL pipelines, as well as support the deployment and quality testing of these structures.
Implement data ingestion solutions in batch or real‑time pipelines.
Matching Summary
Ensure the integration of data into the databases where it will be stored, whether in simple structures, Data Marts, Data Warehouses, or Data Lakes, both in cloud environments and on‑premises.
Skills & Requirements
Must-have
SAS
SQL
ETL pipelines
Data modelling
Data ingestion solutions
Nice-to-have
Cloud environments
On-premises environments
Batch or real-time pipelines
Logical reasoning
Problem-solving skills
Key Requirements
Academic background in Statistics, Information Management, Computer Science, Engineering, or similar analytical/technical fields.
Strong motivation to develop skills in data engineering.
Availability and willingness to learn tools such as SAS, SQL/T‑SQL, Shell scripting, ETL frameworks, and data platforms.