Join the team
We are looking for a talented team passionate about artificial intelligence. Join Sbayt and collaborate with us in creating innovative projects that are changing the future of the industry.
- Strong knowledge of the design, development and supervision of massive data processing in Big Data projects.
- Experience in decision-making during the definition and construction of data-driven infrastructures.
- Proficiency in programming languages such as Python.
- Extensive experience in database design and structure and SQL.
- Design and implement the data architecture for the company’s projects.
- Select data stores and data sources.
- Workflow management.
- Responsible and primarily responsible for ensuring that the three phases of the ETL processes are completed on time and correctly carried out.
- Ensure data quality, integrity and security.
- Develop and implement data analytics solutions.
- Collaborate with the engineering and data analysis teams.
- Keeping up to date with the latest technologies in the field of data.
- A dynamic and challenging work environment.
- The opportunity to work on innovative and high-impact projects.
- A multidisciplinary and highly qualified team.
- A competitive remuneration package.
- Training in mathematics, statistics, economics or similar.
- Experience in data analysis with tools such as R, Python or SQL.
- Ability to interpret and communicate results of data analysis.
- Excellent communication skills, both oral and written.
- Ability to work in a team and autonomously.
- Experience with data visualisation tools such as Tableau or Power BI.
- Knowledge of Machine Learning techniques.
- Experience in the industrial sector.
- Experience with Jupyter Notebook for the creation of interactive reports.
- Storytelling skills to communicate the results of the analysis in a clear and convincing way.
- English proficiency
- Conduct data analysis to identify trends and patterns.
- Develop and implement Machine Learning models.
- Design and build data models for analysis.
- Automate data analysis tasks with Python and SQL.
- Create interactive reports with Jupyter Notebook.
- Communicate the results of the analysis to stakeholders in a clear and convincing way.
- Keeping up to date with the latest data analysis techniques.
- A dynamic and challenging work environment.
- The opportunity to work on innovative and high-impact projects.
- A multidisciplinary and highly qualified team.
- A competitive remuneration package.
- Experiencia demostrable en proyectos de Big Data con Spark (pySpark).
- In-depth knowledge of the development lifecycle of data engineering solutions: development and maintenance of data warehouses and implementation of ELT/ETL pipelines for data integration.
- Experience working in distributed environments and with real-time and batch processing.
- Basic knowledge of Git and Docker.
- Agile methodologies: Scrum.
- Experience with Cloud platforms such as Google Cloud, AWS or Azure.
- Technologies for real-time and batch processing operations such as Spark structured streaming, Kafka, Airflow, Apache Nifi, Flink (python) and similar.
- Bash scripting skills.
- Knowledge of SQL and Non-SQL databases.
- Ability to work as part of a team.
- Proactivity and adaptability.
- Design, develop and maintain data pipelines.
- Implement Big Data solutions for the company’s projects.
- Ensure data quality, integrity and security.
- Collaborate with the engineering and data analysis teams.
- Keeping up to date with the latest technologies in the field of data.
- A dynamic and challenging work environment.
- The opportunity to work on innovative and high-impact projects.
- A multidisciplinary and highly qualified team.
- A competitive remuneration package.
- Required experience of at least 3 years
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Proven experience in the development of predictive models, preferably in enterprise environments.
- Strong programming skills in languages such as Python, R or other applicable languages.
- In-depth knowledge of statistical techniques and machine learning algorithms.
- Experience with data representation tools, libraries and languages.
- Experience with databases and data manipulation tools, such as SQL, MongoDB or others.
- Ability to work with Big Data technologies and architectures.
- Ability to work independently and in a team.
- Excellent communication and presentation skills.
- Advanced level of written and spoken English.
- Design and develop machine learning models to solve business problems.
- Implement and evaluate models in production.
- Interpret and communicate model results to stakeholders.
- Collaborate with the engineering and data analysis teams.
- Keeping up to date with the latest techniques in the field of data science.
- A dynamic and challenging work environment.
- The opportunity to work on innovative and high-impact projects.
- A multidisciplinary and highly qualified team.
- A competitive remuneration package.
