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SysMap Solutions
SysMap Solutions
1.001 – 5.000 Angajați
ConsultanțăInteligență artificialăMarketing
SysMap Solutions este o companie de servicii tehnologice și consultanță care dezvoltă soluții digitale personalizate pentru organizațiile client. Activitatea sa acoperă platforme cloud, sisteme Salesforce și CRM, aplicații mobile, experiența utilizatorului, DevOps, învățare automată, inteligență artificială și inițiative mai ample de transformare digitală. Compania combină expertiza în dezvoltarea software cu o abordare axată pe client, construind sisteme și aplicații complexe în funcție de nevoile operaționale și tehnice ale fiecărui client.
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Locurile de muncă ale companiei

Mid-Level Data Engineer — Remote in Brazil | SysMap Solutions

Data Engineer designing data lakes, warehouses, and scalable architectures at Triggo.ai. Builds analytics, AI, and digital transformation solutions that support business impact.

BRBraziliaRemoteNormă întreagăNivel mediuSeniorLimbă Obligatorie: portughezăInginer de date
DockerGoogle Cloud PlatformKubernetesPythonTensorFlow

Descriere

  • Design and enhance scalable Data Lake environments with strong governance practices
  • Architect modular, high-performance data warehouses built for future growth
  • Create data schemas and durable architectures grounded in established data engineering practices
  • Shape and maintain reliable, scalable, well-organized data architecture
  • Perform exploratory analysis and assist with predictive model development
  • Help create recommendation systems and workflows powered by data
  • Equip business squads with dependable, structured data for value generation
  • Act as a technical resource by guiding and mentoring less experienced professionals
  • Work closely with the team to resolve complex challenges and convert data into actionable decisions

Cerințe

  • Hands-on experience building ETL architectures
  • Understanding of architectures and techniques that improve data performance and operational efficiency
  • Working knowledge of data management, operational databases, and relational database systems
  • Prior experience applying DataOps practices
  • Practical programming and algorithm skills, especially with Python and TensorFlow
  • Experience developing and operating data solutions integrated with Docker and/or Kubernetes
  • Bachelor’s degree in Information Technology or a related discipline
  • GCP certifications are advantageous

Beneficii

  • Applicants with disabilities are welcome to apply
  • A collaborative workplace that values diversity
  • Opportunities for ongoing professional learning
  • A culture focused on excellence and sustained growth
  • Recruitment processes are conducted without applicant fees

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