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Data Engineer - Data Platforms-Azure

IBM

3.1
250 reviews
IBM
Job Type   /   Job Level
Full-time   /   Senior Executive
Company Location
Brazil
Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your Role And Responsibilities

Responsável por estruturar a arquitetura de dados e desenvolver pipelines de ingestão, transformação e disponibilização de dados, garantindo governança, qualidade e disponibilidade das informações. Atua na integração e preparação dos dados para consumo em modelos analíticos e soluções de BI.

Required Technical And Professional Expertise

  • Excelente experiência com Databricks, SQL, Azure Data Lake e Azure Synapse;
  • Databricks obrigatório (critério eliminatório);
  • Conhecimento em Power BI e integração com Salesforce Data Cloud.

Preferred Technical And Professional Experience

  • Proficiency in Azure Services: Exposure to Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub to design, build, and operate batch and real-time data pipelines.
  • Open Source Technologies: Exposure to open source technologies like Apache Airflow and dbt, Spark / Python, or Spark / Scala to support data engineering solutions.
  • Data Engineering on Azure: Experience working with Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure Purview, and Cosmos DB.
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