Ingeniero de datos Bilingue

3 years minimum experience Data Analysis / Engineering.
Coding: Proficiency in coding languages is essential to this role. Common programming languages include SQL, NoSQL, Python, Java, R, and Scala.
Relational and non-relational databases: Databases rank among the most common solutions for data storage. You should be familiar with both relational and non-relational databases, and how they work.
ETL (extract, transform, and load) systems: ETL tools include Xplenty, Stitch, Informatica, Data Fusion and Talend (preferred).
Data storage: Not all types of data should be stored the same way, especially when it comes to big data. As you design data solutions, know when to use a data lake versus a data warehouse.
Automation and scripting. Automation is a necessary part of working with big data simply because organizations can collect so much information. Experience writing scripts to automate repetitive tasks.
Experience building and optimizing big data pipelines, architectures, and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Experience with enterprise data governance frameworks, data cataloging tools and processes using the best practices in the market (Preferred).
Google (GCP) BigQuery experience.
Good Analytical and communication skills.
Good scripting and programming skills (Preferred).
Dot connector / Problem-solving skills.
Good communication in English (oral and written).
Knowledge in:
General Information Technology
Big Data Analytics
Artificial Intelligence and Machine Learning
Data Visualizations
SQL and Non-SQL