Vaga de parceiro

Lead Data Architect (with Fabric exp) - Campinas / SP

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Detalhes da Vaga

  • Escolaridade Não Informado
  • Segmento Não Informado
  • Salário Não Informado
  • Área de AtuaçãoDiversos / Outros

O que você irá fazer

  • g.
  • Bloomberg B-pipe), etc The Team is focused on the development and maintenance of various database applications supporting Risk Management.
  • The successful candidate will have considerable and proven experience in database design, PL/SQL development, a good working knowledge of end-user and server-side data processing techniques, a good understanding of SDLC and agile development methodologies.
  • Responsibilities: Developing business friendly data models.
  • Migration from SQL Server -> Fabric and/or Azure Mandatory Skills Description: Strong understanding of data modellin g and data quality principles Experience across data architecture and data warehousing techniques and practices is essential (experience migrating SQL to Fabric ).
  • Proven experience in designing and developing data models using industry best practices Experience in using code management and CI/CD tools such as Github, Azure Devops, Jenkins, Bamboo etc.
  • Senior (10+ years) MS SQL Server developer/architect.
  • Azure fabric servie experience 10+ years of experience working with ETL tools such as SSIS, ADF or similar.
  • Good understanding and demonstrated experience working with Power Query (M query language) and DAX .
  • Management of Power BI datasets, workspaces and the associated security requirements.
  • - Familiarity with Power BI Premium capabilities , Power BI Rest APIs , Python and Databricks will be highly regarded.
  • Extensive experience designing and developing reports and performance metrics from complex and disparate platforms Nice-to-Have Skills Description: Experience with Azure Risks trading system development experience.
  • Business knowledge in trading domain / capital Languages: English: B2 Upper Intermediate

Informações Adicionais

  • Quantidade de Vagas 1
  • Jornada Não Informado
 

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