Senior Data Engineer
Tasks
- Automate data flows and transformations with Python
- Build and maintain scalable data pipelines and workflows
- Collaborate with analysts engineers and stakeholders on data delivery
- Create and maintain Power BI reports
- Deliver trustworthy datasets for reporting and ML pipelines
- Develop SQL based data modeling and warehousing solutions
- Establish data quality data lineage and governance
- Process and transform large scale data with Apache Spark
Perks/Benefits
- Birthday gift
- Flexible work model
- Free parking
- Health insurance
- Life and disability insurance
- Paid vacation
- Training and certification support
Skills/Tech-stack
Agile | Apache Spark | Azure DevOps | Azure Event | Azure Event Hubs | CI/CD | Data Factory | Data Governance | Data Lineage | Data Modeling | Data Privacy | Data Security | Data Warehousing | Databricks | Dimensional Modeling | Event Hubs | Fabric Data Factory | Fabric Lakehouse | GDPR | Git | Jupyter | Kafka | Lakehouse | Microsoft Azure | Microsoft Fabric | Microsoft Fabric Data Factory | Microsoft SQL | Microsoft SQL Server | Power BI | PySpark | Python | Reporting services | SQL Server | SQL Server Reporting | SQL Server Reporting Services | Server Reporting Services | Synapse Pipelines | T-SQL
Education
Roles
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