Data Engineer
Tasks
- Conduct performance tuning and troubleshooting
- Design and implement scalable data pipelines
- Document data architecture and processes
- Implement Medallion architecture in Snowflake
- Improve data modeling practices
- Integrate data from SQL NoSQL and APIs
- Maintain data pipelines and ETL processes
- Perform data transformations and data integration
Perks/Benefits
- Flexible work location
- Home office setup budget
- Remote-first
- Time off
- Training budget
- Wellbeing budget
Skills/Tech-stack
Access Control | Access policies | Airbyte | Apache Airflow | Azure Data | Azure Data Factory | DBT | Data Factory | Data Modeling | Data Warehousing | Data integration | Data masking | Dimensional Modeling | Dynamic data | Dynamic data masking | ETL | Medallion Architecture | Performance Tuning | Python | Role-Based Access | Role-Based Access Control | Row access policies | SQL | Secure views | Snowflake | Snowflake Schema | Star Schema
Education
N/A
Roles
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