Data Engineer: Scalable Pipelines, dbt, Azure (Remote)

Bridgenext

Argentina

Presencial

ARS 89.781.382 - 149.635.637

Jornada completa

14 días+

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Descripción de la vacante

Bridgenext is seeking a skilled Data Engineer to design, build, and optimize scalable data pipelines and modern data platforms supporting analytics and reporting. You will collaborate with cross-functional teams while working within CST business hours in Latin America, with on-call rotation for high-priority incidents.

The role emphasizes building robust data models, CI/CD for data workflows, and ensuring data quality and governance.

Formación

  • 3+ years of experience designing and developing modern ETL/ELT pipelines using Azure Data Factory.

Responsabilidades

  • Design, build, automate, and maintain scalable data pipelines.
  • Develop and maintain dbt models, data transformations, and ETL/ELT workflows.
  • Design and implement dimensional data models using Kimball methodology, star schema, and modern data warehousing best practices.
  • Develop and maintain CI/CD pipelines for data engineering workflows.
  • Optimize SQL queries and data warehouse performance to ensure scalability and efficiency.
  • Monitor data pipeline health, troubleshoot failures, and perform root cause analysis for production incidents.
  • Implement automated testing and validation to ensure data quality and reliability.
  • Follow data security, governance, and compliance best practices, ensuring adherence to Master Data Management (MDM) standards.
  • Follow established controls to ensure the accuracy, consistency, and quality of data across upstream and downstream systems.
  • Participate in code reviews and promote coding standards and engineering best practices.
  • Collaborate with analysts, software engineers, and business stakeholders to deliver scalable data solutions.
  • Communicate technical progress, risks, issues, and solutions effectively with technical and non-technical stakeholders.

Conocimientos

Azure Data Factory
dbt
Data engineering
SQL optimization
Relational databases
Python
PowerShell
Git/Jira
Communication
Agile

Herramientas

Snowflake
SQL Server
PostgreSQL
PowerShell
Python
Git
Jira
Tableau/Power BI

Descripción del empleo

Bridgenext is seeking a skilled Data Engineer to design, build, and optimize scalable data pipelines and modern data platforms supporting analytics and reporting. You will collaborate with cross-functional teams while working within CST business hours in Latin America, with on-call rotation for high-priority incidents.

The role emphasizes building robust data models, CI/CD for data workflows, and ensuring data quality and governance.

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