Data Engineer

Summary

Join Wizeline, a global digital services company, and become a key contributor to building, scaling, and delivering high-quality digital products and services for our diverse clientele. This role demands advanced Databricks expertise, a consulting mindset, and proficiency in data modeling and programming, particularly Python. You will leverage your experience in large-scale data engineering, cloud-based solutions, and ETL processes to design and implement high-performance data lake solutions. Success requires 5+ years of relevant experience and advanced English proficiency. Wizeline offers a supportive and inclusive work environment with opportunities for professional development and growth.

Requirements

• Possess advanced Databricks skills
• Demonstrate a consulting mindset
• Exhibit expertise in data modeling
• Possess strong general programming skills
• Have solid experience with Python; if not proficient in Python, demonstrate proficiency in other languages and the ability to learn new ones quickly
• Have solid engineering foundations (good coding practices, good architectural design skills)
• Have experience working with SQL in advanced scenarios that require heavy optimization
• Have 5+ years of experience with large-scale data engineering with an emphasis on analytics and reporting
• Have experience building cloud-scalable, real-time and high-performance Data Lake solutions
• Be proficient in designing and implementing ETL (Extract, Transform, load) processes, dealing with big volumes of data (terabytes of data which required distributed processing)
• Have experience developing solutions within Cloud Services (AWS, GCP, or Azure)
• Have an advanced English level

Preferred Qualifications

• Have experience with Scala
• Have experience with Spark

Benefits

• Opportunities to create personalized career paths and develop in-demand skills
• Free education program, Wizeline Academy, to help both employees and the broader community upskill in tech