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Sinqia
Sinqia
1.001 – 5.000 Angajați
ConsultanțăFintechServicii bancare
Sinqia este o companie de tehnologie financiară care dezvoltă platforme digitale pentru bănci, companii fintech și alte instituții financiare. Portofoliul său de produse include soluții pentru sistemele bancare de bază, gestionarea activităților de custodie, integrarea digitală a clienților și conformitatea cu cerințele de reglementare, sprijinind modernizarea serviciilor financiare. Fondată în 1996, Sinqia activează în domeniile bancar, fintech și consultanță, oferind infrastructură tehnologică atât instituțiilor consacrate, cât și companiilor financiare emergente.
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Locurile de muncă ale companiei

Senior Databricks Data Engineer at Sinqia — Hybrid Brazil

Senior Data Engineer responsible for centralizing and advancing Evertec’s data platform. Design resilient pipelines with Databricks, Azure, Kafka, and distributed architecture.

BRBraziliaHibridNormă întreagăSeniorLimbă Obligatorie: portughezăInginer de date
AzureKafka

Descriere

  • Own the centralization and ongoing development of a client’s Depositary data platform
  • Handle informational and transactional data from multi-source capture through structured, reliable, resilient delivery
  • Structure and enhance data layers through Medallion Architecture
  • Centralize, integrate, and process data from diverse sources
  • Query, consume, and connect data from external systems through Kafka
  • Monitor pipelines and data environments to maintain dependable operations
  • Develop contingency strategies and plans that strengthen resilience, availability, and business continuity
  • Evaluate scenarios, uncover improvements, and recommend scalable, sustainable solutions
  • Help shape the data ecosystem’s architecture, integration, quality, observability, and resilience
  • Advance the platform in preparation for future Machine Learning initiatives

Cerințe

  • Demonstrated Data Engineering experience with strong Databricks and Azure proficiency
  • Practical experience applying Medallion Architecture
  • Understanding of Data Mesh and domain-oriented distributed data architecture principles
  • Experience centralizing, integrating, and processing data from multiple sources
  • Hands-on knowledge of Kafka for querying, consuming, and integrating data across systems
  • Experience monitoring data pipelines and operating data environments
  • Strong command of resilience, availability, and business continuity, including contingency planning
  • Architectural judgment to evaluate scenarios, identify enhancements, and recommend scalable, sustainable approaches
  • Machine Learning knowledge is an advantage
  • Senior-level autonomy, sound judgment, and critical-thinking ability

Beneficii

  • Meal or food allowance
  • Flexible benefits through Flash
  • Medical insurance
  • Psicologia Viva mental health support
  • Dental insurance
  • Childcare allowance
  • Support for children with special needs
  • Fertility assistance
  • Extended maternity and paternity leave
  • Transportation or home-office allowance for remote-work contracts
  • Gympass (Wellhub) and TotalPass access
  • Flexible working hours
  • Life insurance
  • Partner benefits club
  • Sesc partnership
  • Dress-code-free workplace
  • Birthday day off
  • Beca education incentive program
  • Profit-sharing or performance bonus tied to targets and results

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