- Minimum 5 - 6 years of experience in data engineering or related fields, with proven expertise in designing and implementing scalable data solutions.
- Advanced technical expertise in software development life cycle (SDLC) methodologies.
- Advanced understanding of design patterns.
- Able to work autonomously and provide support to less qualified professionals.
- Advanced experience in the use of Python, Java, and data related frameworks.
- Advanced knowledge of dimensional data modeling and advanced techniques in this field, including structured, semi-structured, and unstructured data storage (non-SQL), as well as ETL, ELT construction.
- Advanced knowledge in file processing: CSV, JSON, Parquet, Yaml, images, and videos.
- Advanced knowledge in data processing: batch, microbatch, near real-time, and real-time.
- Advanced understanding and experience to contribute and implement data privacy strategies.
- Advanced understanding and experience in implementing and maintaining robust data governance strategies.
- Advanced knowledge in Data Engineering Lifecycle (also known as Data Processing Lifecycle).
- Advanced knowledge in processing different types of internal and external data sources with API management, for subsequent processing, storage, and analysis.
- Advanced knowledge in understanding Architecture: Business, Solutions, Data, etc.
- Advanced mastery in version control: Git, Github, Gitlab.
- Advanced in business vision (business domain), to sensitively identify how data contributes to the business.
- Advanced mastery and evidence with projects using the Google Cloud Platform (GCP) Stack for Data.
- Advanced mastery and evidence with projects using the Amazon Web Services (AWS) Stack for Data.
- Advanced experience in developing and optimizing SQL and related queries.
- Able to effectively and exceptionally socialize the design of the data solution without supervision.
- Advanced experience in Project Management with Agile methodology (Scrum or Kanban).
- Experience in collaborating on projects to achieve OKRs, warning of risks, and providing business value.
- Advanced competence in transparently communicating project status.
Spin está comprometida con un lugar de trabajo diverso e inclusivo. Somos un empleador que ofrece igualdad de oportunidades y no discrimina por motivos de raza, origen nacional, género, identidad de género, orientación sexual, discapacidad, edad u otra condición legalmente protegida. Si desea solicitar una adaptación, notifique a su Reclutador.
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