Resumo da oportunidade
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
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Mid – level Data Developer, Brazil
CI&T
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.
Principais atividades
Data Pipeline Development: Build and maintain data pipelines and ETL/ELT processes to support analytics and business intelligence needs, under the guidance of senior engineers.
Data Architecture Support: Assist in implementing data architectures, including data lakes, warehouses, and integration layers aligned with the organization's data strategy.
Data Quality & Governance: Apply data quality checks and validation processes to ensure data accuracy, consistency, and reliability.
Integration & API Development: Support the development and maintenance of integrations between data sources, third-party tools, and analytics platforms.
Collaboration: Work with Data & Analytics Managers, data scientists, and business stakeholders to understand requirements and contribute to technical solutions that enable data-driven decision making.
Performance Optimization: Assist in monitoring and optimizing data pipeline performance and query efficiency.
Documentation: Contribute to technical documentation for data architectures, pipelines, and processes.
Data Security: Apply security best practices and support compliance with data privacy regulations.
Powered by AI: Leverage AI tools and automation to enhance data engineering workflows and productivity.
- Experience with at least one major Cloud Platform (Azure, AWS, or GCP)
- Familiarity with data platforms such as Databricks or Snowflake
- Good level of English — B2 or above
- Experience or exposure to working with international teams or clients
- Solid experience with data pipeline development and ETL/ELT processes
Working knowledge of data warehousing solutions (BigQuery, Snowflake, Redshift, or similar)
- Proficiency with SQL and at least one programming language (Python, Scala, or Java)
- Basic understanding of data modeling and database design principles
- Experience with modern data stack tools (dbt, Airflow, Fivetran, Stitch, etc.)
- Cloud or data engineering certifications
- Spanish communication skills (reading, writing, and speaking)
Detalhes da vaga
Local
Remoto - Brasil · modelo remoto
Inscrição e candidatura
- Consultar anúncio original e candidatar-se
- Resumo elaborado pelo UpVagas com base nas informações publicadas pela empresa. Consulte o anúncio original para conferir todos os detalhes e eventuais atualizações.
