Senior Data Engineer: Build Scalable AI Pipelines
Posted Updated 20
views
Summary
Senior Data Engineer at Sytac in Amsterdam building robust data pipelines, ETL/ELT workflows, and scalable data environments on Azure and GCP while applying software engineering best practices to data architecture. Requires 6+ years of software development experience with Python, SQL, and distributed data processing.
Sytac is seeking a Senior Data Engineer in Amsterdam to build high-performing engineering teams and develop robust data pipelines.
De volgende informatie geeft een overzicht van de vaardigheden, kwaliteiten en kwalificaties die nodig zijn voor deze functie.
The ideal candidate has over 6 years of experience in software development with a strong background in Python, SQL, and distributed data processing.
Responsibilities include applying software engineering best practices in data architecture, developing ETL/ELT workflows, and designing scalable environments xgiwjmb using Azure and GCP.
Benefits include unlimited growth days, a comprehensive tech budget, and contributions to your pension.
De volgende informatie geeft een overzicht van de vaardigheden, kwaliteiten en kwalificaties die nodig zijn voor deze functie.
The ideal candidate has over 6 years of experience in software development with a strong background in Python, SQL, and distributed data processing.
Responsibilities include applying software engineering best practices in data architecture, developing ETL/ELT workflows, and designing scalable environments xgiwjmb using Azure and GCP.
Benefits include unlimited growth days, a comprehensive tech budget, and contributions to your pension.