[Job-32601] Senior Data Developer, Brazil
CI&T · Brasil · Remoto · Himalayas
Ubicación indicada en la vacante: Brasil. Modalidad: Remoto
Sobre el empleo
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.
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.
- 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.
Originally posted on Himalayas
Postulación
Publicado hace 3 días
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