Senior Data Engineer with GCP

Design, build, and optimize scalable data solutions in a cloud environment, focusing on creating efficient ETL pipelines and data models that support business needs.

Requirements

• At least 4-5 years of commercial experience as a Data Engineer
• Strong Python and PySpark skills
• Experience with GCP Cloud toolset
• Strong hands-on experience with SQL and query optimization
• Experience with ETL/ELT pipelines development, testing, and management
• Strong experience with Hadoop
• Understanding of key concepts around Data Warehousing, Data Lakes and Data Lakehouses

Benefits

• Hybrid work arrangement
• Private medical coverage
• Sport & recreation package
• Lunch subsidy
• Life insurance
• On-line training and certifications
• Access to e-learning platforms
• Mindgram mental health platform
• Work From Anywhere (WFA) option