Mid-Level Data Engineer (PowerBI - PySpark)

Requirements and skills we are looking for:

• Completed or ongoing Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, Administration, Engineering, or related fields;
• Experience as a Data Engineer;
• Proficiency in Python for scripting, data manipulation, and ETL solutions;
• Knowledge of SQL for database manipulation and querying;
• Skill in using PySpark for data manipulation;
• Experience with Apache Spark for large-scale data processing;
• Knowledge of Hadoop for data storage and processing;
• Ability to write HiveQL queries;
• Use of GitHub for project collaboration;
• PowerBI or other Data Visualization tools;
• Business Intelligence;
• Basic English (technical)

Plus

• Domain expertise in the financial sector;
• Certifications in Cloud Computing;
• Knowledge of Databricks;
• Familiarity with DevOps tools;
• Generative Artificial Intelligence;