Job Responsibilities

Key Responsibilities: Design and optimize TB-scale ETL/ELT pipelines using Azure Data Factory (ADF), SSIS, and Logic Apps; Architect storage and analytics models in Azure Synapse Analytics/ADLS with partitioning and indexing; Implement data validation (U-SQL/Python) for quality assurance and compliance (GDPR/DMA); Maintain technical documentation (data dictionaries, pipeline specs) and align solutions with business needs.

Job Requirements

Qualifications: 5+ years in data engineering with expertise in SQL/PySpark and Azure tools (ADF/Synapse/ADLS); Proficient in data modeling, performance tuning, and governance for large-scale data; Skilled in Azure monitoring tools (Monitor/Log Analytics) and CI/CD integration for DataOps; Azure Data Engineer (DP-203) certification or real-time streaming experience preferred.

Required Languages

English