Data Engineer

Software Engineering and Development Experience. Advanced Python Proficiency. Solid expertise in databases and SQL. Ability to interpret and implement customer's technical requirements. Data Pipelining Skills: Experience with Spark, Python, and SQL. Experience constructing analytical data systems over Modern Data Warehouses or Data Lakes. Experience with batch ETL or stream processing systems. Familiarity with the Modern Data Stack: Like DBT, Airflow, and Airbyte. Spanish Advanced Level.

Work closely with a team to deliver top-tier data solutions for customers. Develop proof of concepts and manage data and Machine Learning pipelines. Operate Data Warehouses and Data Lakes. Craft ETL processes for diverse data sources. Take ownership of problems from inception to resolution. Design contemporary data pipelines and architectures. Investigate and innovate with new technologies.