Anunciado 23 de junio
Esta oferta no acepta candidaturas
Tipo de jornada
Sin especificar
Tipo de contrato
Sin especificar
Salario
60.000€ - 70.000€ bruto/año
Estudios mínimos
Sin especificar
Nivel
Sin determinar
Número de vacantes
1
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Descripción del empleo
  • Final Company (Entertainment & Sports)|Senior/Lead Data Engineer

Final Company (Entertainment & Sports)




The ideal person should have the following responsibilities:

  • Able to apply software development best practices and standards into robust, maintainable software solutions

  • Can develop abstract models to solve complex problems for decision analysis

  • Involved in every part of the software development life cycle

  • Successful at distilling complex results or processes into simple, clear visualizations and explain sophisticated data concepts in an understandable manner both verbally and written

  • Experienced at guiding non-technical teams and consultants in understanding analytics at scale, infrastructure as code and best practices for robust software development

  • Optimize and enhance computational efficiency of algorithms and software design

  • Motivated by a fast-paced, service-oriented environment and interacting directly with clients on new features for future product releases

  • · A natural problem-solver with curiosity across a breadth of industries and topics


Interesting professional opportunity




Requisitos mínimos

The ideal person should have the following qualifications:· Bachelor's degree in Computer Science or similar relevant field with at least 5 years of experience

· SQL, ETL experience and building data models, SQL Databases (PostgreSQL, MongoDB)

· Experience with at least one cloud service provider (AWS/Azure/GCS)

· Experience with main public cloud data services.

· DevOps experience: Docker, Kubernetes etc.

· Containerization: Docker, Kubernetes

· Architecture design experience, including integration with CI/CD systems (Azure pipelines, Jenkins)

· Programmatic platform for scheduling and monitoring data pipelines: e.g Airflow, Oozie

· Experience in Java, Scala, JavaScript, TypeScript

· Full stack web development: Django, React

· Big data: Spark, Hadoop. Data Science and machine learning (Pandas, Scikit learn)Skills and abilities

· Innovation

· Self-reliance




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