Derevo

Fabric Data Engineer

Derevo

full-time

Posted on:

Location Type: Hybrid

Location: Cualquier ciudad • Mexico

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Job Level

SeniorLead

Tech Stack

AzurePySparkSparkSQL

About the role

  • Design, build, and optimize enterprise-grade data solutions using Microsoft Fabric.
  • Collaborate with cross-functional teams to deliver high-quality data solutions.
  • Mentor junior engineers and share best practices in Data Engineering.
  • Develop Lakehouse architectures and implement data pipelines for various workloads.
  • Integrate and utilize Power BI for enterprise analytics solutions.

Requirements

  • 7–10+ years of experience in Data Engineering.
  • Strong hands-on experience with Microsoft Fabric, including at least one production implementation.
  • Design and development of Lakehouse architectures using Microsoft Fabric, including OneLake, Delta tables, and Medallion architecture.
  • Development of Dataflows Gen2, Notebooks (PySpark / SQL), and Pipelines for data ingestion, transformation, and orchestration.
  • Implementation of end-to-end data pipelines using Data Factory (Fabric), Spark notebooks, and streaming workloads.
  • SQL (Advanced/Expert) and PySpark / Spark SQL.
  • Design of high-performance data pipelines for batch and real-time workloads.
  • Development of semantic models and governed datasets to support enterprise analytics.
  • Collaboration with Power BI developers to design DAX measures, relationships, and optimized data models.
  • Implementation of Git integration and deployment pipelines for Fabric workloads.
  • Experience with Eventstream, Real-Time Hub, or KQL (Nice to have).
  • Experience implementing data governance frameworks, lineage, cataloging, and metadata management using tools such as Purview (Nice to have).
  • Strong collaboration experience working with cross-functional teams, including Data Scientists, BI Engineers, Domain Owners, and Business Stakeholders.
  • Ability to mentor junior engineers and contribute to engineering best practices.
  • Experience supporting modern data platform initiatives and contributing to Centers of Excellence, reusable frameworks, and architectural standards.
  • Experience with the Azure Data Platform ecosystem (ADLS, Azure Data Factory, Synapse, Databricks) (Nice to have).
Benefits
  • WELLNESS: We promote personal, professional, and financial well-being.
  • LET’S RELEASE YOUR POWER: Opportunities to specialize and grow across different technologies and domains.
  • WE CREATE NEW THINGS: Freedom and support to design innovative data solutions.
  • WE GROW TOGETHER: Participation in cutting-edge, multinational technology projects with diverse teams.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Data EngineeringMicrosoft FabricLakehouse architectureDataflows Gen2Notebooks (PySpark / SQL)Data FactorySQLPySparkDAXdata governance frameworks
Soft Skills
mentoringcollaborationbest practicescross-functional teamwork