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⚙️Data Engineer

[Job-31421] Senior Data Engineer, Brazil

Ciandt · Brazil
// classified as
Data Engineer (Pipelines, infra, ingestion, ETL.)
posted
1d ago
location
Brazil
languages
python
tools
azure, databricks, spark
> stack
pythonazuredatabricksspark
> 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.


** Must have good English =>  C1 or above

 

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

  • 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.

Qualifications 

  • Good English communication skills is mandatory (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.

  • 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.

Nice to Have

  • Databricks certification is a plus.

  • Experience working with international clients.

  • Experience working with Azure and 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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