Senior Data Engineer on Azure
Tasks
- Build data pipelines using ETL tools
- Design ETL processes
- Design OLTP and data warehouse models
- Develop T-SQL stored procedures and functions
- Implement relational and multidimensional database solutions
- Optimize database indexes and partitioning
- Process data with Apache Spark
- Support Azure Synapse and Azure SQL DW implementations
- Work with Azure Data Lake Storage
Perks/Benefits
- Career development pathways
- Continuous feedback
- Hybrid work model
- Internal coaching program
- Onboarding buddy
- Personal development plan
- Private health care insurance
- Psychological support
- Ticket restaurant card
- Unlimited Training and Learning
Skills/Tech-stack
Analytics Functions | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure SQL | Azure SQL Data | Azure SQL Data Warehouse | Azure SQL Database | Azure Synapse | Azure Synapse Analytics | Common table expressions | Data Factory | Data Lake Storage | Data Lake Storage Gen2 | Data Warehouse | ETL | Indexing | Normalization | OLTP | Partitioning | Query Optimization | SQL Analytics Functions | SQL Data Warehouse | SQL Database | SQL User Defined Functions | SQL analytics | SQL stored procedures | Star Schema | Stored Procedures | Synapse Analytics | T-SQL | User Defined Functions
Education
Roles
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