Azure/AWS/Databricks Data Engineer
BGN 45K-45K (estimate) Mid-level Full Time
Tasks
- Analyze data requirements
- Build analytics solutions
- Build data lakes
- Collaborate in agile projects
- Create data pipelines
- Design data warehouses
- Develop ETL code using Python
- Develop ETL using Apache Spark
- Develop data models
- Document using Confluence
- Implement ETL pipelines
- Manage code using Git
- Track tasks using JIRA
- Work with cloud data platforms
- Write SQL queries
Perks/Benefits
- Company-sponsored certifications
- Employee discounts
- Employee recognition program
- Employee referral program
- Flexible work model
- Food vouchers
- Learning platforms access
- Life insurance
- Medical insurance
- Paid vacation
- Wellbeing resources
Skills/Tech-stack
ARM Templates | AWS Glue | AWS S3 | Active Directory | Agile | Apache Spark | Application Insights | Azure Active Directory | Azure Blob | Azure Blob Storage | Azure Data | Azure Data Factory | Azure Data Lake | Azure Key Vault | Azure Monitor | Azure Synapse | Azure Synapse Analytics | Blob Storage | CI/CD | Data Factory | Data Lake | Data Lakes | Data Modeling | Data Pipelines | Data Warehousing | Databricks | ETL | Key Vault | Python | SQL | Synapse Analytics | Terraform
Education
Roles
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