We are seeking a highly skilled Senior Data Engineer to join our team at Interfell, working remotely from Latin America. This role focuses on designing, building, and optimizing scalable cloud-based data solutions using cutting-edge technologies like Databricks, Python, and SQL. You'll be responsible for developing robust data pipelines, modeling modern data architectures, and implementing best practices for performance, security, and automation.
The ideal candidate brings 5+ years of data engineering experience, with deep expertise in Python (including PySpark) and SQL. You'll work in a collaborative environment, partnering with cross-functional teams to translate strategic business needs into actionable data solutions. Your work will directly impact the organization's analytics and business intelligence initiatives.
This is an excellent opportunity for a senior-level professional who thrives in a remote setting and wants to work with modern data architectures including Data Lakes, Lakehouse, and Delta Lake. You'll have the chance to grow your career while working on challenging projects that require both technical expertise and strategic thinking.
The position offers the flexibility of remote work from any eligible Latin American country, along with the opportunity to work with cutting-edge technologies and a collaborative team environment. You'll be instrumental in shaping the company's data infrastructure while maintaining high standards of quality and efficiency.