Distributed Cloud | Data Engineer

📋 Description Design and build robust, high-performance data pipelines for large-scale data. Implement and tune data processing to ensure stability and cost-efficiency. Automate end-to-end release processes (CI/CD) and enforce code quality. Collaborate with Data Scientists, Architects, and stakeholders to translate requirements. Participate in code reviews and set engineering standards for the data team. Own the data ecosystem ensuring data integrity, security, and smooth production workflows. 🎯 Requirements 3+ years in Data Engineering or similar roles. Expert-level Python (Pandas, PySpark). Strong SQL with complex ETL/ELT design experience. SDLC knowledge: Git, unit testing, CI/CD. Distributed computing (Spark) and Cloud Data Warehouses (Snowflake, BigQuery, Redshift). Cloud environments and Databricks experience. 🎁 Benefits Global company culture with a diverse, inclusive environment. Opportunity to work with Cloud, Data, and Cyber security experts.