Data Engineer
JPY 8600K-11800K (estimate) Entry-level Full Time
Tasks
- Build ETL pipelines
- Develop Databricks jobs using PySpark
- Develop Databricks jobs using Scala
- Develop features using Azure Data Factory
- Implement data integration and reporting solutions
- Own project tasks through completion
- Set up and maintain Azure PaaS SQL databases
- Use Azure Data Lake Store
- Write complex SQL queries for data ingestion
Perks/Benefits
Skills/Tech-stack
Azure | Azure Blob | Azure Blob Storage | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Store | Azure Databricks | Azure PaaS | Azure PaaS SQL | Azure SQL | Azure SQL Database | Blob Storage | Data Factory | Data Lake Store | Data integration | ETL | PaaS SQL | Power Apps | Power Automate | Power BI | Power Platform | PySpark | Reporting | SQL | SQL Database | Scala | Unity Catalog
Education
Bachelor of Engineering | Bachelor of Technology | Master of Science
Roles
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