Resumo da vaga

Data Engineer – Databricks & Lakehouse (Power BI Environment)

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

Data Engineering & Pipeline Development

  • Design, develop, and maintain scalable data pipelines using Databricks and Delta Lake
  • Build and manage transformations across bronze, silver, and gold layers
  • Optimize processing for performance, reliability, and cost
  • Integrate data from ERP, CRM, APIs, and other enterprise systems

Data Modeling & Business Logic

  • Develop gold-layer datasets aligned to standardized business definitions
  • Translate business requirements into reusable data models
  • Ensure consistency of core metrics across reporting
  • Align Databricks outputs with Power BI semantic models

Data Quality, Testing & Reliability

  • Implement automated data quality checks and validation rules
  • Build testable, production-ready pipelines
  • Support impact analysis using lineage tools
  • Participate in CI/CD and deployment processes

Performance Optimization & Operations

  • Monitor and optimize pipeline performance
  • Troubleshoot issues across environments
  • Ensure data consistency between dev, test, and prod
  • Support high-volume data workloads

AI & Automation (Preferred)

  • Use AI-assisted tools for development (e.g., Copilot, Databricks Agents)
  • Explore AI agents for testing, lineage analysis, and optimization
  • Contribute to AI-driven engineering practices

Collaboration & Stakeholder Engagement

  • Partner with BI and business teams
  • Support governance and cataloging efforts
  • Document data models and pipelines

Basic Qualifications:

  • Bachelor’s degree in relevant field
  • 8+ years data engineering experience
  • Strong Databricks, Spark, Delta Lake experience

· SQL and Python proficiency

  • Experience with Power BI or similar tools

Preferred Qualifications:

  • Azure Data Factory, Synapse, or Data Lake experience

· DevOps and CI/CD experience

  • AI agents or AI-assisted development exposure
  • Experience in large, complex enterprise environments
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FocoData EngineeringÁrea da vaga
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StackAzure, CI/CD, PythonSkills principais
Localização1 país aceitoElegibilidade

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