Das ist der Job
Proficient in data analysis, transformation, and ETL processes within cloud data ecosystems. #J-18808-Ljbffr
Darum lohnt es sich
Responsibilities Lead development of data solutions, pipelines, and API-driven database components Drive high-volume data processing and enterprise data architecture efforts Requirements 5+ years hands-on SQL development with stored procedures and large-scale batch processing Proven experience designing and delivering enterprise data platforms Building and maintaining Azure Data Factory pipelines Creating and deploying database-hosted APIs Data analysis, transformation, and ETL expertise Broader experience across cloud data ecosystems Additional exposure to advanced data modeling or automation tooling Familiarity with modern data integration patterns Core Competencies Demonstrates expertise in SQL development, data pipeline creation, and enterprise data architecture, with a strong focus on Azure Data Factory and API-driven solutions.
