We are looking for a skilled Data Engineer (Mid or Senior level) to help design and build a GCP-native data processing framework. The role involves close collaboration with the data engineering team to create scalable, high-performance solutions.
Design and implement a new data processing framework using GCP native services
Ensure data quality, integrity, and availability across systems
Develop technical documentation and best practices
5+ years in data engineering, with solid experience in pipeline architecture
Strong background in GCP and big data tools like PySpark, Databricks, and BigQuery
Hands-on experience with orchestration tools like Airflow or similar GCP-native alternatives
Familiarity with data lake table formats such as Delta and Iceberg
Proficiency in Python
Solid understanding of data lake design and optimization
Strong analytical and problem-solving abilities
Clear and effective communication skills
Collaborative mindset with the ability to work in distributed teams
Sprawdź inne ciekawe oferty pracy na: https://antal.pl/dla-kandydata
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