Professional Data Scientist / DevSecOps Engineer (m/w/d) - Data Engineering / Azure Synapse / ETL / Cloud DWH [80-100%] (Ref.Nr.: 46716)
Tasks
- Build data marts and data lakes
- Build digital twin product
- Design automated scalable data pipelines
- Develop cloud data warehouse solutions
- Develop data foundations
- Document ETL processes
- Ensure data quality
- Implement ETL integration workflows
- Maintain monitoring solution for ETL
- Monitor data pipelines
- Process near real-time data
Perks/Benefits
Skills/Tech-stack
Azure Data | Azure Data Explorer | Azure Functions | Azure Pipelines | Azure Synapse | Azure Synapse Analytics | Cloud Data | Cloud Data Warehouse | Confluence | Data Engineering | Data Explorer | Data Lake | Data Mart | Data Modeling | Data Warehouse | Digital Twin | ETL | Infrastructure as Code | Jira | Matillion | Microsoft Azure | Near-Real-Time data | Near-real-time | Power BI | Python | Real-time Data | SAFe | SQL | Scrum | Stream processing | Synapse Analytics | “as-code”
Education
N/A
Roles
Data Scientist | DevOps | DevOps Engineer | DevSecOps | DevSecOps Engineer | Engineer | Scientist
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