Azure Data Engineer: Pipelines, DBT & Synapse Expert

Softtek; Bogotá; Presencial; Jornada completa

Descripción del empleo

Design, build, and maintain scalable data infrastructure solutions.

Control and management of changes in data pipelines and data platforms.

Monitoring and reporting of activities, development status, and effort estimations.

Strong knowledge of Azure Data Factory (ADF) and Azure Data Lake.

Hands-on experience with Python, DBT, and Synapse.

Experience in data modeling and database design.

Nice to Have Skills:

Strong communication skills to collaborate with cross-functional teams and stakeholders.

Knowledge of service level agreements (SLA).

Familiarity with data governance and data security best practices.

Experience with version control systems (Git) and CI/CD pipelines.

Responsibilities

Design, develop, and maintain robust data pipelines and ETL processes using Azure Data Factory (ADF) and Azure Data Lake.

Implement and manage data transformations and models using DBT to ensure data quality and consistency.

Develop and optimize complex SQL queries for data processing and analytics.

Build and manage scalable data warehouses using Azure Synapse Analytics.

Collaborate with data scientists, analysts, and business stakeholders to deliver data-driven solutions.

Monitor, troubleshoot, and optimize data workflows ensuring reliability and performance.

Stay updated with industry trends and best practices in data engineering and cloud technologies.