What do we do at Luce? We solve value challenges by using technology and data to accelerate digital transformation in society.
We are very good at what we do, we have integrity, we are close, and our projects are the most powerful and innovative. This is how our clients describe us. We believe that technology and data can “change the world”.
At Luce IT every person matters, every person participates, and what we will be in the future is built TODAY by all of us.
We are a great team!
In the Data Chapter we are passionate about data: we model it, we make sense of it and we try to make predictions based on it. Our day-to-day work consists of implementing processes for ingesting large volumes of data, processing them with distributed technologies and creating statistical and machine learning models. We also design data-oriented architectures for clients who want to migrate their operations to the cloud.
The objectives we want to improve within the Athena framework are:
Improving code quality
Defining environments
Automating deployments
Improved process monitoring
Documentation and knowledge transfer.
Its main function is to design, configure, implement and validate data transformation and data availability for business teams (for reporting) or technical teams (datascientiest, applications).
Build data pipelines to acquire information from various sources.
Design, develop and supervise data processing in a big data project.
Analysing data quality and defining and implementing the necessary cleansing processes.
Structuring and consolidating data for use in analytical applications.
Apply data governance rules and policies.
Develop data models, sort and treat data in a way that simplifies the drawing of conclusions from it.
Develop ETL, ELT, etc. processes that optimally store, extract and transform data.
Activate data for other systems.
Knowledge of batch and real time information processing.
Working in a collaborative development environment (agile/devops).
Working with Cloud architectures.
Generation, evaluation and optimisation of Machine Learning models.
Design and configuration of dashboards in BI tools (PowerBI, Data Studio, etc.).
Configuration of advanced metrics in processing systems and visualisation tools.
Analysis and generation of insights based on data in BI tools, analytics and digital marketing tools.
Luce Innovative Technologies
