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D&A Data Engineer Fsr
Job summary
Um grupo consultor de tecnologia busca um Engenheiro de Dados em São Paulo, Brasil. O candidato ideal deverá ter experiência em Azure Data Factory e Databricks, além de forte conhecimento em processos ETL e modelagem de dados. Você colaborará com equipes para otimizar sistemas de dados e garantir segurança e conformidade. Requisitos incluem uma formação superior e certificações em gerenciamento de dados. O salário é a combinar e a posição é crucial para a estratégia de dados da empresa.
Qualifications
- Experiência em soluções de dados baseadas em Azure.
- Conhecimento forte em processos ETL / ELT e modelagem de dados.
- Familiaridade com armazenamentos de dados como Delta Lake.
Responsibilities
- Colaborar com equipes multifuncionais para alinhar práticas de engenharia de dados.
- Criar modelos de dados conceituais, lógicos e físicos.
- Desenvolver e implementar estratégias de migração de dados.
- Construir e otimizar tabelas de Delta Lake em ADLS.
Skills
Education
Tools
Nível Acadêmico : Ensino Superior Completo Turno / Horas Áreas de Atuação Profissional : TI - Projetos Descrição : Standard ProfileD&A-Data-Engineer – FSR-5163 Main Skill Experience with Azure Data Factory, Databricks, and Azure-based data solutions. Strong knowledge of ETL / ELT processes, data modeling, SQL, and data warehousing. Familiarity with Delta Lake and Azure Data Lake Storage. Ability to work collaboratively with cross-functional teams. Proven experience in data modeling. Familiarity with cloud data platforms (e.g., Azure, AWS, Google Cloud) and big data technologies. Experience with data governance, data quality, and data security best practices. Ability to work collaboratively with cross-functional teams and communicate complex technical concepts to non-technical stakeholders. Strong problem-solving, analytical, and organizational skills. Required Qualifications Certifications in data architecture, cloud platforms, or data management (e.g., AWS Certified Data Analytics, Google Professional Data Engineer, DAMA). Experience with data visualization tools (e.g., Power BI, Tableau) and programming languages (e.g., Python, Java) is a plus. Knowledge of industry-standard data models and regulatory requirements. Habilidades : English Level Advanced. End Date: June 30 2026
Formação Acadêmica : Não informado
Salário : A combinar
Cargo : Engenheiro de sistemas (software)
Empresa : Decision group. Atua com consultoria de mão de obra de serviços de tecnologia.
Ramo : Recursos Humanos / Recrutamento e seleção (DB)
Position Overview As a Data Engineer, you will play a pivotal role in ensuring effective storage, integration, and utilization of data across the Retail portfolio. You’ll collaborate with cross-functional teams to align data strategies with organizational goals, optimize data systems, and ensure data security and compliance.
- Collaborate with cross-functional teams to align data engineering practices with business objectives.
- Create conceptual, logical, and physical data models to support business requirements.
- Determine organizational data needs and translate them into robust data architectures.
- Define and enforce data architecture standards, policies, and procedures for effective data management, governance, and archival strategies.
- Develop and implement data migration strategies from legacy systems.
- Develop ETL / ELT pipelines in Azure Data Factory and Databricks.
- Integrate usage history, weather data, pricing curves, and product terms into standardized models.
- Build and optimize Delta Lake tables in ADLS for staging, reference, and historical use cases.
- Enable workflows through Azure Notebooks and Databricks jobs.
- Experience with Azure Data Factory, Databricks, and Azure-based data solutions.
- Strong knowledge of ETL / ELT processes, data modeling, SQL, and data warehousing.
- Familiarity with Delta Lake and Azure Data Lake Storage.
- Ability to work collaboratively with cross-functional teams.
- Proven experience in data modeling.
- Familiarity with cloud data platforms (e.g., Azure, AWS, Google Cloud) and big data technologies.
- Experience with data governance, data quality, and data security best practices.
- Ability to work collaboratively with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
- Strong problem-solving, analytical, and organizational skills.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.