(Junior or Mid) Data Engineer with Snowflake
Tasks
- Automate data workflows
- Conduct code reviews
- Design data pipelines
- Develop data pipelines
- Ensure Data reliability
- Ensure data quality
- Ensure data security
- Implement data modeling
- Integrate data sources
- Monitor data pipelines
- Optimize data pipelines
- Perform performance tuning
- Troubleshoot data pipeline issues
Perks/Benefits
- Additional leave
- Baby leave
- Birthday day off
- Cafeteria benefits
- Diversity initiatives
- Employee shares plan
- Employer-funded group insurance
- Extra day off for birthday
- Hybrid working
- Learning platform access
- Paid time off
- Private medical care
- Psychological support consultations
- Reduced work time after parental leave
- Volunteer time off
- Wellbeing leave
- Work Without Barriers
- Work-life balance
Skills/Tech-stack
AWS Glue | Access Control | Access policies | Apache Airflow | Azure DevOps | Cloning | Clustering | Common table expressions | DBT | Data Governance | Data Modeling | Data Sharing | Data masking | Data performance | Data performance tuning | Data replication | Documentation | Dynamic data | ELT | ETL | External tables | Git | JSON | Jinja | PLSQL | Parquet | Performance Tuning | Python | Role-Based Access | Role-Based Access Control | Row Access | Row access policies | STAGES | Secure views | Snowflake | Snowpark | Storage integration | Streams | Tasks | Testing | Time Travel | User Defined Functions | Window Functions | YAML
Education
N/A
Roles
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