ADF Fullstack - GDC

Capgemini; Aguascalientes; Presencial; MXN 200,000 - 400,000; Jornada completa

Descripción de la vacante

A leading global consultancy is seeking a skilled Azure Data Engineer to design and implement scalable data solutions in a cloud-first environment. The ideal candidate will have expertise in Microsoft BI technologies such as Azure Data Factory and SQL Server. Responsibilities include developing data pipelines, optimizing data models, ensuring data quality, and collaborating with cross-functional teams. This role offers an opportunity to work within agile teams and contribute to innovative data projects.

Formación

• Strong expertise in Microsoft BI technologies.
• Hands-on experience with Azure Data Factory, SQL Server, Azure Data Lake, and Azure Synapse Analytics.
• Experience working in Agile teams.

Responsabilidades

• Design, develop, and maintain data pipelines using Azure Data Factory.
• Write efficient SQL/T-SQL queries for ETL.
• Implement data quality, integrity, and security measures.

Conocimientos

Azure Data Factory (ADF)

SQL Server

Azure Data Lake

Azure Synapse Analytics

ETL development

Data architecture

Software engineering

Power BI

Herramientas

Git

Descripción del empleo

Descripción breve

We are seeking a skilled and motivated Azure Data Engineer with strong expertise in Microsoft BI technologies. The ideal candidate will have hands-on experience in Azure Data Factory (ADF), SQL Server, Azure Data Lake, and Azure Synapse Analytics. This role demands a blend of software engineering, data architecture, and ETL development skills to design and implement scalable data solutions in a cloud-first environment.

Responsibilities:

1. Design, develop, and maintain data pipelines using Azure Data Factory (ADF).
2. Write efficient SQL/T-SQL queries for data extraction, transformation, and loading (ETL).
3. Develop and optimize data models in Azure SQL Server and Azure Synapse Analytics.
4. Implement data partitioning strategies and performance tuning for large-scale data warehouses.
5. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
6. Work within Agile teams, participating in sprint planning, daily stand-ups, and retrospectives.
7. Build and maintain dashboards and reports using Power BI.
8. Ensure data quality, integrity, and security across all data platforms.
9. Automate data workflows and monitor pipeline performance and reliability.
10. Document technical solutions and maintain version control using tools like Git.