Data Engineer Microsoft Fabric

POSSUMUS; Municipio de Rincón de los Sauces; Presencial; ARS 81.878.000 - 111.652.000; Jornada completa

Descripción de la vacante

Possumus is seeking a Data Engineer to design, build, and maintain scalable data architectures on Microsoft Fabric and Azure. You will create and manage Data Lake, Lakehouse and Data Warehouse solutions, and develop ETL/ELT pipelines while ensuring data governance and security.

Collaborate with Data Analysts and Data Scientists on datasets and models, and participate in architecture discussions and pre-sales activities. Strong SQL and Power BI modeling skills are required.

Formación

• 2+ years of experience as Data Engineer or similar roles.
• Strong experience with Microsoft Fabric and Azure-based data architectures.
• Experience designing Data Lake, Lakehouse and Data Warehouse.
• Solid ETL/ELT design and data integration patterns.
• Experience with Data Factory and Dataflows Gen2.
• Strong SQL skills on large datasets.
• Experience building semantic models for Power BI.
• Knowledge of Azure data services and data governance concepts.
• Experience with Git-based deployment practices.

Responsabilidades

• Design and build scalable data architectures using Microsoft Fabric and Azure.
• Develop and maintain Data Lake, Lakehouse and Data Warehouse solutions.
• Create and manage ETL/ELT pipelines using Data Factory and Dataflows Gen2.
• Design reusable semantic models for Power BI consumption.
• Implement CI/CD practices using Azure Pipelines or Fabric deployment capabilities.
• Ensure data quality, governance, security, traceability and availability across the data platform.
• Collaborate with analysts and scientists on datasets and models.
• Participate in estimations, architecture discussions and pre-sales activities.

Conocimientos

Microsoft Fabric

Azure

Data Factory

Data Lakes

Data Warehouse

Power BI

ETL/ELT

Git-based version control

Herramientas

Azure DevOps

Databricks

Descripción del empleo

At Possumus, we are looking for a Data Engineer ssr to join strategic data and analytics initiatives built on the Microsoft ecosystem. This role is responsible for designing, building and maintaining scalable data architectures that support Business Intelligence, Advanced Analytics, Machine Learning and AI-driven solutions.

You will work closely with Data Analysts, Technical Leaders and business stakeholders to ensure data solutions are secure, governed, scalable and aligned with best practices and organizational standards.

What you will be doing

• Design and build scalable and secure data architectures using Microsoft Fabric and Azure.
• Develop and maintain Data Lake, Lakehouse and Data Warehouse solutions following modern data architecture principles.
• Create and manage ETL/ELT pipelines using Data Factory, Dataflows Gen2 and related technologies.
• Design reusable semantic models for Power BI consumption and analytics.
• Implement CI/CD practices using Azure Pipelines and/or Microsoft Fabric deployment capabilities.
• Ensure data quality, governance, security, traceability and availability across the data platform.
• Collaborate with Data Analysts and Data Scientists in the preparation of datasets and predictive models.
• Participate in technical estimations, architecture discussions and pre-sales activities.
• Support and guide users and technical teams in the adoption of Microsoft data technologies.

Soft skills we value

• Flexibility and adaptability to evolving technologies and business needs.
• Proactive attitude and ownership mindset.
• Strong problem-solving and analytical thinking skills.
• Ability to work collaboratively with technical and business teams.
• Autonomy and continuous learning mindset.
• Strong communication skills and stakeholder interaction.

Requisitos mínimos

• 2+ years of experience as Data Engineer, Analytics Engineer or similar roles.
• Strong experience with Microsoft Fabric.
• Experience designing and implementing Data Lake, Lakehouse and Data Warehouse architectures.
• Solid understanding of ETL/ELT processes and data integration patterns.
• Experience with Data Factory, Dataflows Gen2 and data transformation processes.
• Strong SQL skills and experience working with large-scale datasets.
• Experience designing semantic models for Power BI consumption.
• Knowledge of Azure cloud services related to data platforms.
• Experience with Git-based version control and deployment practices.
• Understanding of data governance, security and access management concepts.

Desirable requeriments

• Experience with Microsoft Purview for data governance.
• Experience with Databricks and notebook-based data transformations.
• Knowledge of Data Mesh, UCAD and Medallion Architecture.
• Experience implementing CI/CD using Azure DevOps or Azure Pipelines.
• Power BI experience, including DAX and semantic modeling.

Microsoft Certifications Such As

• DP-700 – Microsoft Fabric Data Engineer Associate
• DP-600 – Fabric Analytics Engineer Associate
• DP-900 – Azure Data Fundamentals
• PL-300 – Power BI Data Analyst

Our Hiring Process

• TA Interview
• Technical interview
• Psycho-occupational interview
• Job Offer