Data Engineer

Summary

Join Wizeline, a global digital services company, and become a key member of our team. We are seeking a highly experienced Data Engineer with 10+ years of experience in large-scale data engineering, focusing on analytics and reporting. You will be responsible for designing and implementing ETL processes, building cloud-scalable data lake solutions, and working with large volumes of data. Proficiency in Python (or other languages with a quick learning ability), Spark, SQL, and cloud services (AWS, GCP, or Azure) is essential. Solid engineering foundations and advanced English are also required. Wizeline offers a diverse and inclusive work environment with opportunities for professional development.

Requirements

• Possess strong general programming skills
• Have solid experience with Python; if not proficient in Python, be proficient in other languages and demonstrate the ability to learn new ones quickly
• Have experience working with SQL in advanced scenarios that require heavy optimization
• Have 10+ years of experience with large-scale data engineering with an emphasis on analytics and reporting
• Have solid engineering foundations (good coding practices, good architectural design skills)
• Have experience with Spark
• Have advanced English level

Responsibilities

• Design and implement ETL (Extract, Transform, Load) processes, dealing with big volumes of data (terabytes of data which required distributed processing)
• Build cloud-scalable, real-time and high-performance Data Lake solutions
• Develop solutions within Cloud Services (AWS, GCP, or Azure)

Preferred Qualifications

Have experience with Scala