Azure Data Engineer
Posted
Summary
Designs, develops, and delivers data management, modeling, and analytics solutions on Microsoft Azure — building ETL pipelines and proof-of-concepts using Azure Data Lake, SQL Data Warehouse, Azure Data Factory, DevOps, and SQL/Python. On-site role based in Mexico.
- 3 to 10 years of hands-on experience in design, support, development and delivery of data management, modeling, and analytics solutions. This includes hands-on experience with data integration, ETL processes, and data modeling.
- 2+ years of Azure Data Lake and SQL Data Warehouse experience.
- 2+ years of Azure Data Factory and DevOps.
- Proficiency in SQL or Python, or other programming languages used for data processing.
- Ability to rapidly develop outcomes via specifications and requirements to build proof of concepts.
- Profiling various information systems, capture source/target mappings and transformations based on project requirements.
- Ability to rapidly define requirements and build proof of concepts.
Preferred Skills
- 2+ years of SAP Datasphere / BDC.
- 1+ years utilizing AI to expedite data engineering tasks.