Senior Data Engineer (Databricks) — Data & Analytics Platform

📋 Description

• Design, build, and maintain scalable ETL pipelines for large-scale data processing.
• Implement data transformations and workflows using PySpark at an intermediate to advanced level.
• Work extensively with Databricks to develop, manage, and optimize data pipelines.
• Optimize pipelines for performance, scalability, and cost efficiency across environments.
• Troubleshoot, debug, and resolve data processing and pipeline issues.
• Collaborate with cross-functional teams to gather requirements and deliver high-quality data solutions.

🎯 Requirements

• 5–7 years of professional experience in data engineering.
• Strong hands-on proficiency with PySpark (intermediate to advanced level).
• Solid experience working with Databricks, including Autoloader, Python-based workflows, and platform best practices.
• Proven experience optimizing data pipelines for performance and cost efficiency.
• Strong understanding of ETL processes and large-scale data transformations.
• Excellent problem-solving skills with the ability to diagnose and resolve complex data issues.

🎁 Benefits

• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
• Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
• Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
• Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.
• A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
• Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.