Data Engineer

Description: Innovate logistics with a dynamic, ambitious, and multicultural team at Skydropx. Responsibilities include data collection, transformation, and building efficient data pipelines using ETL tools. Requirements: Degree in Engineering, Actuarial Science, Applied Mathematics, Industrial Engineering, or related field. Strong programming experience, especially in Python, with knowledge of libraries like NumPy, Pandas, and advanced SQL. Experience in large-scale data manipulation and query optimization in SQL databases and BigQuery. Familiarity with ETL tools (Matillion, SQLMesh) and database management. Knowledge of relational and non-relational databases, data warehouses, data lakes, and observability. Ability to communicate with interdisciplinary teams and prioritize tasks in dynamic environments. Benefits: Competitive and negotiable salary based on experience and skills. 100% remote work with flexible hours during new releases. Professional growth and development opportunities.