[Job-32601] Senior Data Developer, Brazil

Ciandt

Job details

  • REMOTE
  • UNKNOWN
  • Brazil
  • Brazil
  • Verified 2026-11-10
  • Source: Ciandt public LEVER source

Original job description

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.

With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.

We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.


At CI&T, we're growing fast and looking for a talented, motivated Senior Data Developer to join our team. You'll play a crucial role in designing, developing, and maintaining scalable data pipelines and infrastructure to drive data analytics and machine learning solutions for our global clients.

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines and infrastructure.

  • Collaborate with cross-functional teams to ensure data integrity and usability.

  • Document data workflows, processes, and architectures.

  • Integrate data quality into data pipelines.

  • Develop CI/CD pipelines for ETL processes.

  • Implement dimensional data modeling.

  • Implement Data Lake/Data Warehouse solutions.

  • Implement Data Governance practices (catalog, lineage, etc).

  • Provide technical support and troubleshooting for data-related issues.

Must have:

  • Solid experience in data engineering or a related role. 

  • Advanced English (reading, writing, and speaking).

  • Experience with the Databricks platform is a must-have for this position.

  • Strong knowledge of Spark, Python, and SQL.

  • Knowledge of CI/CD pipelines for ETL processes.

  • Expertise in dimensional data modeling.

  • Experience with Data Lake/Data Warehouse implementations.

  • Experience with Azure Devops and Azure Data Factory.
Nice to have:

    • Databricks certification is a plus.

    • Experience working with international clients.

    • Experience with Power BI.

    • Familiarity with Data Quality practices.

    • Familiarity with Data Governance using Unity Catalog.

    • Knowledge of FinOps as applied to the data space.

    • Experience with SAP.

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