Are you looking for an innovative and well-established company where you can grow professionally? GMV is a technology group with extensive experience.
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We are expanding our teams in the Intelligent Transportation Systems (ITS) sector.
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We’ll get to the point; we’ll tell you what’s not on the web. If you want to know more about us go to GMV website
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WHAT CHALLENGE WILL YOU BE TAKING ON? As part of our team, you will work as a Data Engineer specializing in data warehousing and analytics (Power BI) to develop and enhance the data platform associated with our smart transportation solutions (CAD/AVL, ABT, CCTV, etc.). You will join a microservices-based environment, where each service has its own database.
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Your responsibilities will include the following:
- Design, development, and maintenance of ETL/ELT processes using tools such as Talend and/or Prefect.
- Integration of data from distributed microservices-based architectures.
- Modeling and design of data warehouses oriented toward analytical use (dimensional models, query optimization).
- Ensuring data quality, consistency, and traceability.
- Orchestration and monitoring of data pipelines.
- Development of semantic models and datasets for use in Power BI.
- Creation of reusable dashboards and reports for clients and internal solutions.
- Performance optimization in data loading and utilization processes.
- Collaboration with backend, product, and analytics development teams.
WHAT DO WE NEED IN OUR TEAM? For this position, we are looking for a Data Engineer who is seeking a stable environment in which to grow, with a proven track record and experience in the following:
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- Experience in developing ETL/ELT processes (Talend, Prefect, or equivalent tools).
- Advanced proficiency in SQL.
- Experience in data warehouse design and modeling (star schema, snowflake, etc.).
- Experience working with multiple data sources (especially in microservices environments).
- Experience with BI tools, especially Power BI (modeling, DAX, dashboard creation).
- Knowledge of data pipeline orchestration.
- Experience in query and performance optimization.
We will also value :\n
- Experience with modern data architectures (data lake, lakehouse).
- Knowledge of messaging tools (RabbitMQ, Kafka).
- Experience in Cloud environments (Azure, AWS, or GCP).
- Knowledge of Python or other languages for data processing.
- Experience in designing multi-tenant solutions.
- Knowledge of data governance (data quality, security).
- Experience in the transportation sector or ITS systems.
- Knowledge of monitoring and logging tools.
WHAT DO WE OFFER?
- Hybrid working model and 8 weeks per year of teleworking outside your usual geographical area.
- Versátil start and finish times, and intensive working hours Fridays and in summer.
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