Newly Graduate

Boost IT is made up of people who are motivated to improve the world and who are passionate about technology. Our vision focuses on the skill to bring people together around complex problem solving for our clients, creating sophisticated solutions.

People are our most important asset and the reason for our business. We are proud of our strong culture, which challenges the status quo and always searches for the best solution for our clients. We believe technology can lead to a positive change in society, connect and inspire and, ultimately, lead to a better future.

BOOST IT. DOING IT. BETTER

Tasks
- Define and design modern data platforms in the public cloud or the private cloud covering the entire data life cycle under a strategy directed by metadata and based on DataOps
- Define at a methodological and government level how the exercise of data architecture on these platforms should be considered.

**Requirements**:

- Computer Engineering, Telecommunication Engineering or other academic output that has endowed you with the capacity for development and critical thinking in this environment.
- It is highly valued having training through a Master or other alternatives that increase your skills, for example, a Master in Big Data and Analytics
- Knowledge of architecture and data life cycle in Data Lake environments, Data Warehouse or other Data platforms.
- Knowledge of different data modeling strategies: relational modeling, Kimball modeling, Data Vault modeling, plank modeling, hybrid data modeling, etc.
- Knowledge of the different strategies for moving data to or from a central data repository, this is Data Collection and Data Delivery and the different techniques associated with each of them: Change Data Capture, File Ingestion (Parquet, Avro, Text
- File, etc.) in batch or microbatch mode, treatment of events and their schemes, Ingest from APIs, Data Sharing, etc.