Data Engineer (all genders)
Tasks
- Apply data security privacy and governance
- Build data warehouse architectures
- Collaborate with data architects and data scientists
- Develop data pipelines (ETL/ELT)
- Ensure data quality consistency availability
- Integrate data from business systems
- Monitor data processing errors and performance
- Optimize data pipeline stability and cost
- Provide data for analytics BI and AI
Perks/Benefits
- Career development opportunities
- Flexible working hours
- Free snacks and beverages
- Modern ergonomic workplace
- Paid meals
- Team sports and events
Skills/Tech-stack
Apache Spark | Azure | Cloud Data | Cloud Data Platform Services | Cloud data platform | Cloud platform | Data Governance | Data Lake | Data Platform Services | Data Privacy | Data Quality | Data Security | Data Warehouse | ELT | ETL | Google Cloud | Google Cloud Platform | Lakehouse | NoSQL | Platform Services | Python | SQL
Education
N/A
Roles
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