Azure Data Engineer

Epsilon LATAM.; Santiago de Querétaro; Presencial; MXN 10 044 000 - 13 392 000; Tempo integral

Resumo da oferta

Epsilon LATAM. is seeking a data engineer in Querétaro, Mexico, to design, implement, and deliver data management and analytics solutions.

The role requires hands-on experience with data integration, ETL, modeling, and cloud data services, with proficiency in SQL or Python to build proofs of concept. The ideal candidate will have 2+ years with Azure Data Lake, SQL Data Warehouse, and Data Factory, plus DevOps practices.

Qualificações

• 3 to 10 years hands-on experience in design, support, development and delivery of data management, modeling, and analytics solutions.
• 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.

Conhecimentos

Data management

Data modeling

Analytics solutions

Data integration

ETL processes

SQL

Python

AI usage

Proof of concepts

Profiling

Requirements gathering

Ferramentas

Azure Data Lake

SQL Data Warehouse

Azure Data Factory

DevOps

SAP Datasphere

Descrição da oferta de emprego

• 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.