[Job-31421] Mid-level Data Engineer, Brazil

Ciandt • Python • SQL • ETL/ELT • Power BI • 1 day ago
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Salary
≈ $35k – $87k per year (Estimated)
Location
Remote (Brazil)
Seniority
Middle
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Ciandt

Ciandt is a leading provider of digital transformation services. We help organizations transform their businesses by leveraging the latest technologies. Our solutions provide comprehensive digital strategy, design, development, and implementation capabilities.
ciandt.com • HQ: Campinas, Brazil • IT Consulting • Software • Information Technology • 5000+ employees • Est. 1995

At CI&T, we're growing fast and looking for a talented, motivated

Mid Level Data Engineer 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 Responsabilities

  • 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.

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

Qualifications

  • Good communication skills (reading, writing, and speaking).

  • Proven experience working with modern data engineering stacks in the cloud.

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

  • Previous experience with Spark, Python, and SQL.

  • Knowledge of CI/CD pipelines for ETL processes.

  • Expertise in dimensional data modeling.

  • Experience with Data Lake/Data Warehouse implementations.

Nice to Have

  • Databricks certification is a plus.

  • Experience working with international clients.

  • Experience working with Azure or AWS.

  • 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.

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