Data Engineer - Senior
Tasks
- Apply Git based version control and engineering best practices
- Build and optimize ETL ELT pipelines for analytics ready datasets
- Build and optimize data processing and storage with Azure Databricks and Delta Lake
- Collaborate with stakeholders to translate requirements into data engineering solutions
- Communicate technical concepts with business and technical teams
- Design and manage data models and architectures for scalability reliability performance and data quality
- Design develop maintain scalable reliable data solutions supporting digital transformation
- Develop cloud based data solutions on Microsoft Azure ecosystem
- Troubleshoot issues and optimize pipeline performance reliability and maintainability
- Use Python and SQL for data transformations and workflow processing
Perks/Benefits
- Flexibility to work from Slovenia
- Fully remote
- Opportunity to contribute to large scale digital transformation initiative
- Remote work autonomy and flexibility
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Databricks | Azure Networking | Azure SQL | Azure Storage | Azure Synapse | Azure Synapse Analytics | Data Factory | Data Lake Storage Gen2 | Delta Lake | ELT | ETL | Git | Microsoft Azure | Python | SQL | Synapse Analytics
Education
N/A
Roles
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