Resumen del rol

Data Engineer- Spark Developer

Requisitos y responsabilidades

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What You'll Do:

  • Design, develop, test, deploy, maintain, and improve data pipelines;
  • Coding using Apache Spark on Azure Databricks;
  • Design and develop big data architectures using Azure Data Factory, Service Bus, BI, Databricks, and other Azure Services.

Requirements

  • Bachelor's degree in Computer Science or Software Engineering;
  • Strong analytical skills, team - and quality-oriented, keen to learn and excel;
  • Thorough knowledge of Apache Spark;
  • Experience as a Data Engineer;
  • Advanced knowledge of Python or Scala;
  • Spark query tuning and performance optimization;
  • Experience with cloud platforms (Azure, AWS, or GCP);
  • Fluency in verbal and written English.

Nice-to-Have Qualifications:

  • Understand and analyze DAG operations;
  • Provide cost estimates for big data processing;
  • Write and review architecture documents.

Benefits

  • Competitive full-time salary;
  • Private Health Coverage on the Company’s group program;
  • Flexible Working Hours;
  • Top-of-the-Line Tools;
  • Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities;
  • Career Growth: Work with some of the most innovative and exciting specialists in the industry;
  • Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth.
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FocoData EngineeringÁrea del rol
Señal de senioritySeniorNivel del candidato
StackAWS, Azure, GCPSkills principales
Ubicación38 países aceptadosElegibilidad

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