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BIG DATA ANALYST / ENGINEER

Descripción de la oferta de empleo

We are expanding our Big Data team and we are looking for Big Data Engineers and Analysts to join us.If you have at least 3 years of experience in developing Big Data solutions, are an expert in Python, and have a solid knowledge of Databricks or other data lakes, this is your opportunity!And if you have good skills in data analysis, creating reports and metrics in PowerBI, or other reporting tools is your opportunity too! What will you do?Design and develop ETL pipelines using Python and Spark in Databricks to integrate data from various sources.Optimize the performance and scalability of Big Data solutions in Databricks.Help make the data we collect useful for us by creating PowerBI dashboards that can be used across different departments in the company.Actively participate in the planning and execution of tasks, following agile methodologies such as Scrum or Kanban.Basic requirements:University degree in Computer Engineering, Mathematics, Statistics, or a related field.At least 3 years of experience in developing Big Data solutions using Python.Solid experience analyzing data and creating dashboards with PowerBI or other reporting toolsSolid experience with Databricks or other data processing frameworks.Advanced knowledge of relational and non-relational databases.Experience working in agile teams and using tools such as Jira or Trello.Proven ability to design and build scalable data architectures.Strong communication and teamwork skills.Fluent in English.What do we offer?Flexible schedule.Remote work.Restaurant Tickets.Health insurance.Annual performance bonus.And much more!Find us on our social networks and you will be able to see what our daily life at HP SCDS is like:http://instagram.com/hpscdshttps://twitter.com/hpscdshttps://www.youtube.com/channel/UCPLRYGQnBYcdDErG0P_rYDw
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Detalles de la oferta

Empresa
  • HP SCDS
Localidad
Dirección
  • Sin especificar - Sin especificar
Fecha de publicación
  • 18/10/2024
Fecha de expiración
  • 16/01/2025
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