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
To apply for this job please visit jobs.gft.com.
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